Triple

T8521705
Position Surface form Disambiguated ID Type / Status
Subject Syracuse–Pittsburgh football rivalry E201706 entity
Predicate teamColorOfOtherParticipant P4834 FINISHED
Object Pittsburgh blue and gold 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: Pittsburgh blue and gold | Statement: [Syracuse–Pittsburgh football rivalry, teamColorOfOtherParticipant, Pittsburgh blue and gold]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: teamColorOfOtherParticipant
Context triple: [Syracuse–Pittsburgh football rivalry, teamColorOfOtherParticipant, Pittsburgh blue and gold]
  • A. teamColor chosen
    Indicates the association between a team and the color that represents or identifies it.
  • B. teamColorContext
    Indicates the contextual or situational association between a team and its designated color.
  • C. partyColor
    Indicates the political party affiliation or ideological group with which an entity is associated, typically represented by a specific color.
  • D. supportersColor
    Indicates that a group of supporters is associated with, identified by, or represented using a particular color.
  • E. introducedTeamColor
    Indicates that an entity is responsible for introducing or establishing a particular team color for a team or group.
  • 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_69ca8321bb44819081b74df0b710276d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe62a490481908ee0ad4ba9a94682 completed March 31, 2026, 3:20 p.m.
PD Predicate disambiguation batch_69cbd10f64b4819080859057c19e58f0 completed March 31, 2026, 1:50 p.m.
Created at: March 30, 2026, 6:16 p.m.