Triple

T36024847
Position Surface form Disambiguated ID Type / Status
Subject Michigan–Minnesota football rivalry E1042097 entity
Predicate associatedTrophyRivalry P47111 FINISHED
Object Little Brown Jug rivalry E319176 NE 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: Little Brown Jug rivalry | Statement: [Michigan–Minnesota football rivalry, associatedTrophyRivalry, Little Brown Jug rivalry]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedTrophyRivalry
Context triple: [Michigan–Minnesota football rivalry, associatedTrophyRivalry, Little Brown Jug rivalry]
  • A. associatedRivalry
    Indicates a relationship where one entity is linked to another as its rival, competitor, or opposing counterpart.
  • B. hasRivalryTrophyStatus
    Indicates that a rivalry trophy has a particular status or condition within the context of a competitive relationship.
  • C. isRivalryTrophyFor chosen
    Indicates that an object serves as the trophy awarded in a rivalry competition between specific entities.
  • D. associatedWithRivalryGame
    Indicates that there is a connection or involvement between entities specifically in the context of a rivalry game.
  • E. hasRivalryIn
    Indicates that two entities are in a state of competition or opposition within a specific domain, context, or field.
  • F. None of above.

Provenance (4 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_69f76e2c568881909e1e21f85252b0f0 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_6a037c8d06cc8190ab6a5e18d9d2571e completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38c00418b481909792a4a694937701 completed June 22, 2026, 4:54 a.m.
PD Predicate disambiguation batch_6a037a0895b48190acdd88dc10db7be7 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:07 p.m.