Triple

T2542356
Position Surface form Disambiguated ID Type / Status
Subject NBA Rookie of the Year Award E57812 entity
Predicate eligibilityDetail P1130 FINISHED
Object players in their first NBA season 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: players in their first NBA season | Statement: [NBA Rookie of the Year Award, eligibilityDetail, players in their first NBA season]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: eligibilityDetail
Context triple: [NBA Rookie of the Year Award, eligibilityDetail, players in their first NBA season]
  • A. eligibility
    Indicates that an entity meets the required conditions or qualifications to participate in, receive, or perform something.
  • B. eligibilityContext
    Indicates the situational or conditional factors under which an entity qualifies for or is considered eligible for something.
  • C. eligibilityLevel
    Indicates the degree or tier of qualification an entity has for a given benefit, service, or status.
  • D. eligibilityCriteria chosen
    Indicates the conditions or requirements that must be satisfied for an entity to qualify for or be considered eligible for something.
  • E. eligibilityCategory
    Indicates the classification or type of eligibility that applies to an entity within a given context.
  • 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_69ab4a5212d88190b989ce129f2ad87f completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd2bd92f88190bf100c799f62210c completed March 7, 2026, 7:24 a.m.
PD Predicate disambiguation batch_69abd0c63964819092d5f578195ae8dd completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:47 p.m.