Triple

T30967
Position Surface form Disambiguated ID Type / Status
Subject NCAA Division I FCS E617 entity
Predicate scholarshipLimit P99 FINISHED
Object up to 63 full scholarship equivalents in football 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: up to 63 full scholarship equivalents in football | Statement: [NCAA Division I FCS, scholarshipLimit, up to 63 full scholarship equivalents in football]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: scholarshipLimit
Context triple: [NCAA Division I FCS, scholarshipLimit, up to 63 full scholarship equivalents in football]
  • A. eligibilityCriteria
    Indicates the conditions or requirements that must be satisfied for an entity to qualify for or be considered eligible for something.
  • B. hasLimitation chosen
    Indicates that an entity is subject to a constraint, restriction, or boundary that limits its scope, capability, or applicability.
  • C. eligibility
    Indicates that an entity meets the required conditions or qualifications to participate in, receive, or perform something.
  • D. isStudiedIn
    Indicates that a subject (such as a topic, field, or phenomenon) is examined, researched, or learned about within a particular context, environment, or discipline.
  • E. offersDegree
    Indicates that an institution or program provides a specific academic degree as an available qualification.
  • 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_69a2479dec388190967ba648663442c9 completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a2490d80a0819083bf604c1229e903 completed Feb. 28, 2026, 1:46 a.m.
PD Predicate disambiguation batch_69a2486eb01881909241540dda28e1ff completed Feb. 28, 2026, 1:44 a.m.
Created at: Feb. 28, 2026, 1:44 a.m.