Triple

T4044471
Position Surface form Disambiguated ID Type / Status
Subject Princeton Tigers men’s rowing E84030 entity
Predicate universityColor P19185 FINISHED
Object orange 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: orange | Statement: [Princeton Tigers men’s rowing, universityColor, orange]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: universityColor
Context triple: [Princeton Tigers men’s rowing, universityColor, orange]
  • A. universityMascot
    Indicates that one entity serves as the official mascot representing a particular university.
  • B. hasSchoolColours chosen
    Indicates that an entity is associated with one or more official colours that represent it, typically in formal or symbolic contexts.
  • C. stateUniversity
    Indicates that an institution is a university that is publicly funded and operated under the authority of a state or similar governmental entity.
  • D. flagshipUniversity
    Indicates that a university holds primary or leading status within a larger system, region, or country, often serving as its main representative or most prominent institution.
  • E. universityAbbreviation
    Indicates that one term is the standard shortened or abbreviated form of the name of a university.
  • 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_69aed930bd5c819083e7dcc14fc44f69 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb5f85d48190ba80a0a24fbe438a completed March 9, 2026, 4:54 p.m.
PD Predicate disambiguation batch_69aef900386481909d04555a9ec9b0e3 completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:37 p.m.