Triple

T2301676
Position Surface form Disambiguated ID Type / Status
Subject Buffalo Bills–New England Patriots rivalry E51745 entity
Predicate rivalryIntensityFactors P29369 FINISHED
Object divisional stakes 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: divisional stakes | Statement: [Buffalo Bills–New England Patriots rivalry, rivalryIntensityFactors, divisional stakes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: rivalryIntensityFactors
Context triple: [Buffalo Bills–New England Patriots rivalry, rivalryIntensityFactors, divisional stakes]
  • A. rivalryLevel chosen
    Indicates the degree or intensity of competitive opposition or conflict between two entities.
  • B. typeOfRivalry
    Indicates a competitive or adversarial relationship between entities, specifying the particular kind or nature of rivalry that exists between them.
  • C. rivalryCharacterization
    Indicates a relationship in which two entities are characterized as rivals, typically defined by ongoing competition, opposition, or conflict between them.
  • D. hasRivalryAspect
    Indicates that there exists a competitive or adversarial relationship or dimension between entities.
  • E. hasRivalryEmotion
    Indicates that one entity feels rivalry-based emotions, such as competitive tension or antagonistic comparison, toward another entity.
  • 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_69a88b0a9f248190bcff941463d8f65a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abcbabf01081908db3b42bc7c60444 completed March 7, 2026, 6:54 a.m.
PD Predicate disambiguation batch_69abc58ad33c8190b8d68af41b6f5e07 completed March 7, 2026, 6:28 a.m.
Created at: March 4, 2026, 7:49 p.m.