Triple

T774543
Position Surface form Disambiguated ID Type / Status
Subject Supreme Court of California E16357 entity
Predicate canAnswerCertifiedQuestionsFrom P13124 FINISHED
Object federal courts 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: federal courts | Statement: [Supreme Court of California, canAnswerCertifiedQuestionsFrom, federal courts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canAnswerCertifiedQuestionsFrom
Context triple: [Supreme Court of California, canAnswerCertifiedQuestionsFrom, federal courts]
  • A. certificationBy
    Indicates that one entity formally attests to, approves, or validates the qualifications, standards, or authenticity of another entity.
  • B. answeredBy chosen
    Indicates that a question, request, or problem is responded to or resolved by a particular entity.
  • C. certificationUS
    Indicates that an entity holds or is associated with a certification that is recognized, issued, or valid within the United States.
  • D. qualifiesFrom
    Indicates that one entity gains an official status, capability, or eligibility as a result of successfully completing or meeting the requirements of another entity.
  • E. canBeAwardedTo
    Indicates that something is eligible to receive or be granted a particular award, honor, or recognition.
  • 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_69a49369a0848190af883934cee3db4c completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a74da7648190adfad56717d564df completed March 1, 2026, 8:53 p.m.
PD Predicate disambiguation batch_69a4a50a443481909ae3662764ee69a4 completed March 1, 2026, 8:43 p.m.
Created at: March 1, 2026, 7:37 p.m.