Triple

T2606427
Position Surface form Disambiguated ID Type / Status
Subject New York State inspector general E58668 entity
Predicate mayReferCasesTo P14169 FINISHED
Object law enforcement authorities 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: law enforcement authorities | Statement: [New York State inspector general, mayReferCasesTo, law enforcement authorities]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mayReferCasesTo
Context triple: [New York State inspector general, mayReferCasesTo, law enforcement authorities]
  • A. relatedCase
    Indicates that one legal case is connected or associated with another case, such as through shared facts, parties, issues, or procedural history.
  • B. reasonToReferCases chosen
    Indicates that one entity has a justification or motivation for directing or transferring certain cases to another entity for further handling or consideration.
  • C. canRefer
    Indicates that one entity has the ability or permission to mention, point to, or direct attention to another entity.
  • D. mayReportTo
    Indicates that one entity is permitted or allowed to have a reporting relationship to another entity, such as an employee being allowed to report to a particular manager.
  • E. associatedCourtCase
    Indicates a relationship where one entity is linked to, or involved in, a particular court case.
  • 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_69ab4ac3523881909679750c9f8c2dec completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8def9bc8190b2e013abffc7b191 completed March 7, 2026, 7:50 a.m.
PD Predicate disambiguation batch_69abd80ab7248190ba06ba14fe4c5638 completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:49 p.m.