Triple

T4061296
Position Surface form Disambiguated ID Type / Status
Subject National Center for Toxicological Research E86215 entity
Predicate regulatoryDomainSupported P53833 FINISHED
Object drugs 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: drugs | Statement: [National Center for Toxicological Research, regulatoryDomainSupported, drugs]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: regulatoryDomainSupported
Context triple: [National Center for Toxicological Research, regulatoryDomainSupported, drugs]
  • A. regulatoryDomain
    Indicates that one entity defines or governs the rules, policies, or constraints under which another entity must operate.
  • B. supportedRegime
    Indicates that an entity provided assistance, endorsement, or backing to a particular political regime or government in power.
  • C. isSupportedBy
    Indicates that an entity is upheld, sustained, or enabled by another entity, which provides necessary assistance, resources, or justification.
  • D. supportedIn
    Indicates that one entity is valid, applicable, or functionally enabled within the context, environment, platform, or scope defined by another entity.
  • E. supportsRegulation
    Indicates that one entity endorses, backs, or advocates for the implementation or continuation of a specific regulation.
  • F. None of above. chosen

Provenance (4 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_69aed93c69208190a4efac0efe3cd69b completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefd0bdea48190805a79515ee92709 completed March 9, 2026, 5:02 p.m.
PD Predicate disambiguation batch_69aef90438908190a005b08ba271eacf completed March 9, 2026, 4:44 p.m.
PDg Predicate description generation batch_69aefd0995188190b1bc8771fe7f423a completed March 9, 2026, 5:02 p.m.
Created at: March 9, 2026, 3:38 p.m.