Triple

T1208940
Position Surface form Disambiguated ID Type / Status
Subject Football Bowl Subdivision E25953 entity
Predicate usesScholarships P11489 FINISHED
Object yes 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: yes | Statement: [Football Bowl Subdivision, usesScholarships, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesScholarships
Context triple: [Football Bowl Subdivision, usesScholarships, yes]
  • A. hasScholarships chosen
    Indicates that an entity provides, offers, or is associated with one or more scholarships to another entity.
  • B. scholarshipType
    Indicates the specific category or kind of scholarship associated with an entity.
  • C. hasBursaries
    Indicates that an entity provides or is associated with bursaries (financial aid or scholarships).
  • D. scholarshipEquivalency
    Indicates that one scholarship is considered equal in value, coverage, or benefit to another scholarship or financial award.
  • E. allowsNonScholarshipPrograms
    Indicates that an entity permits the operation or participation of programs that do not offer scholarships.
  • 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_69a4942b30f08190a91c60573e16b5ef completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bde30ce08190ab60a181ad2d321d completed March 1, 2026, 10:29 p.m.
PD Predicate disambiguation batch_69a4bb6078088190ba0221ae3368416c completed March 1, 2026, 10:19 p.m.
Created at: March 1, 2026, 7:46 p.m.