Triple

T20715369
Position Surface form Disambiguated ID Type / Status
Subject Roses Match E509155 entity
Predicate teamColorOfLancashire P4834 FINISHED
Object red rose emblem 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: red rose emblem | Statement: [Roses Match, teamColorOfLancashire, red rose emblem]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: teamColorOfLancashire
Context triple: [Roses Match, teamColorOfLancashire, red rose emblem]
  • 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. supportersColor
    Indicates that a group of supporters is associated with, identified by, or represented using a particular color.
  • D. teamColorOrIdentity
    Indicates that a team is associated with a particular color or identifying attribute used to distinguish it from other teams.
  • E. liveryColors
    Indicates the specific set of colors used as the official or characteristic color scheme associated with an entity (such as a brand, organization, or vehicle).
  • 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_69e0b4c40ad88190b81f77695366d328 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1d12a9481909cce3711c1c2d9f8 completed April 21, 2026, 12:16 a.m.
PD Predicate disambiguation batch_69e5c044d1108190b2b5d25de23f6401 completed April 20, 2026, 5:57 a.m.
Created at: April 16, 2026, 12:15 p.m.