Triple

T9833902
Position Surface form Disambiguated ID Type / Status
Subject diphtheria antitoxin E239052 entity
Predicate doesNotReverse P4300 FINISHED
Object tissue damage already caused by toxin LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: tissue damage already caused by toxin | Statement: [diphtheria antitoxin, doesNotReverse, tissue damage already caused by toxin]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: doesNotReverse
Context triple: [diphtheria antitoxin, doesNotReverse, tissue damage already caused by toxin]
  • A. doesNot chosen
    Indicates that a specified entity lacks, refrains from, or fails to perform a particular action or exhibit a particular property in relation to another entity or context.
  • B. doesNotReplace
    Indicates that one entity does not take over, substitute for, or serve as a replacement for another entity in a given context.
  • C. doesNotChange
    Indicates that one entity remains unaffected or unaltered by another entity or action.
  • D. doesNotTry
    Indicates that an entity makes no attempt to perform a particular action or engage in a specified activity.
  • E. doesNotUse
    Indicates that one entity intentionally refrains from employing, utilizing, or relying on another entity, method, or resource.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca84e314108190978324a4bdb959f8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3385054819094145c96204e3f0d completed April 2, 2026, 12:07 a.m.
PD Predicate disambiguation batch_69cd03e30bc08190816c0a6d29c21b0f completed April 1, 2026, 11:39 a.m.
Created at: March 30, 2026, 8:32 p.m.