Triple

T4898863
Position Surface form Disambiguated ID Type / Status
Subject NCAA women’s golf E109747 entity
Predicate eligibilityRuleSystem P25398 FINISHED
Object NCAA eligibility rules 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: NCAA eligibility rules | Statement: [NCAA women’s golf, eligibilityRuleSystem, NCAA eligibility rules]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: eligibilityRuleSystem
Context triple: [NCAA women’s golf, eligibilityRuleSystem, NCAA eligibility rules]
  • A. eligibilityRulesSetBy chosen
    Indicates that one party defines or establishes the criteria or rules determining another party’s eligibility for something.
  • B. formerEligibilityRule
    Indicates that an entity was previously subject to a particular eligibility rule, but that rule no longer currently applies.
  • C. eligibilityContext
    Indicates the situational or conditional factors under which an entity qualifies for or is considered eligible for something.
  • D. eligibility
    Indicates that an entity meets the required conditions or qualifications to participate in, receive, or perform something.
  • E. eligibilityUnit
    Indicates that one entity serves as the unit or basis used to determine another entity’s eligibility for a benefit, status, or condition.
  • 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_69bd4410bbf88190aad50d2451c863d6 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd706245e48190a61d573438461c30 completed March 20, 2026, 4:05 p.m.
PD Predicate disambiguation batch_69bd6c306b188190a08a7856beb76db4 completed March 20, 2026, 3:48 p.m.
Created at: March 20, 2026, 1:28 p.m.