Triple

T1459860
Position Surface form Disambiguated ID Type / Status
Subject Cal–Stanford Big Game E31485 entity
Predicate hasStudentSectionRivalry P8277 FINISHED
Object Cal student section vs. Stanford student section 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: Cal student section vs. Stanford student section | Statement: [Cal–Stanford Big Game, hasStudentSectionRivalry, Cal student section vs. Stanford student section]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasStudentSectionRivalry
Context triple: [Cal–Stanford Big Game, hasStudentSectionRivalry, Cal student section vs. Stanford student section]
  • A. hasLocalRivalry
    Indicates that there is an ongoing competitive or adversarial relationship between entities that are geographically close or share the same local area.
  • B. hasRivalryAspect chosen
    Indicates that there exists a competitive or adversarial relationship or dimension between entities.
  • C. rivalInstitution
    Indicates that one institution is in a state of competition or opposition with another institution.
  • D. divisionRivalry
    Indicates a competitive or adversarial relationship between entities that belong to the same division or subgroup within a larger organization or system.
  • E. campusDistanceBetweenRivals
    Indicates the physical distance separating the campuses of two rival institutions.
  • 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_69a49917dfc081909acdbdf5d684f1ef completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c59d6dd88190b8ff3bda90aef7e2 completed March 1, 2026, 11:02 p.m.
PD Predicate disambiguation batch_69a4c47ec5108190b1772237f2e5d90b completed March 1, 2026, 10:58 p.m.
Created at: March 1, 2026, 8 p.m.