Triple

T1150252
Position Surface form Disambiguated ID Type / Status
Subject Derek Nurse E23659 entity
Predicate team P3756 FINISHED
Object Letterkenny Irish E44500 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: Letterkenny Irish | Statement: [Derek Nurse, team, Letterkenny Irish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Letterkenny Irish
Context triple: [Derek Nurse, team, Letterkenny Irish]
  • A. Ulster Irish chosen
    Ulster Irish is the northern dialect of the Irish language, traditionally spoken in the province of Ulster and noted for its distinctive pronunciation and vocabulary.
  • B. Limerick
    Limerick is a historic city in western Ireland known for its medieval architecture, riverside setting on the River Shannon, and rich cultural and literary heritage.
  • C. Cashel
    Cashel is a former parliamentary constituency in Ireland that was once represented in the British Parliament by statesman Sir Robert Peel.
  • D. Waterford
    Waterford is a small town and village in eastern New York State, known as the eastern terminus of the Erie Canal and its historic canal locks.
  • E. Munster
    Munster is a historic province in the south of Ireland, known for its major role in Irish history, culture, and conflicts, including the 17th-century wars.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a493f0d32c8190ac74bad3c87f2641 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc730b008190bd0901e0a47a4b7a completed March 1, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5eb5d36c8190916a43a5f41df144 completed March 7, 2026, 5:21 p.m.
Created at: March 1, 2026, 7:44 p.m.