Triple

T21621216
Position Surface form Disambiguated ID Type / Status
Subject Westmeath GAA E533580 entity
Predicate hasCountyColours P124370 FINISHED
Object maroon 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: maroon | Statement: [Westmeath GAA, hasCountyColours, maroon]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCountyColours
Context triple: [Westmeath GAA, hasCountyColours, maroon]
  • A. countyColours chosen
    Indicates that a specific color or set of colors is associated with, represents, or is used to depict a particular county.
  • B. eachCountyHas
    Indicates that for every county in a given set or context, there exists at least one associated item, attribute, or entity satisfying a specified condition.
  • C. hasCountyCode
    Indicates that an entity is associated with a specific county identified by a standardized county code.
  • D. hasNumberOfCounties
    Indicates the relationship that specifies how many counties are associated with or contained within a given entity.
  • E. hasCountyCodeType
    Indicates that an entity is associated with a specific type or classification of county code.
  • 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_69e0c464fba881908d0ff2ac80511ce1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef3bafef548190b3856bfad1ebdc0b completed April 27, 2026, 10:34 a.m.
PD Predicate disambiguation batch_69e69665fe8c8190af7e38785db188b2 completed April 20, 2026, 9:11 p.m.
Created at: April 16, 2026, 6:34 p.m.