Errors in extracting ProductCompound entries are more frequent, as indicated by a lower accuracy of 71.29%. Upon inspection, we noticed the errors mainly originate from implicit information: Some fields of a ProductCompound message are not explicitly stated in the text description and are instead derived or inferred. One example is the "calculated" reaction yield, in contrast to the "reported" reaction yield which the model can capture successfully (Table ). To alleviate this effect, we also report the accuracy using a more lenient routine for identifying equivalent ProductCompound messages that considers two ProductCompound messages identical if all of their identifiers and amount fields are identical. These fields often capture all important chemical information about reaction outcomes. After applying this less strict equivalence definition, the accuracy for extracting ProductCompound messages increases from 71.29% to 87.12%, indicating that the model is capable of chemical entity/relation extraction even if it struggles with implicit calculation of yields. This routine also results in an increased accuracy (91.51%) for Compound messages in ReactionInput by excluding errors in reaction role identification (vide infra).