Triple

T1856641
Position Surface form Disambiguated ID Type / Status
Subject Ulster E41718 entity
Predicate hasMajorCity P316 FINISHED
Object Letterkenny E131899 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 | Statement: [Ulster, hasMajorCity, Letterkenny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Letterkenny
Context triple: [Ulster, hasMajorCity, Letterkenny]
  • A. Letterkenny chosen
    Letterkenny is a Canadian television sitcom set in a small rural Ontario town, known for its fast-paced wordplay, quirky characters, and deadpan humor.
  • B. The Big Irishman
    The Big Irishman is the nickname of Pat Quinn, a towering Canadian NHL defenseman and coach known for his physical play and successful coaching career.
  • C. Ballygrant
    Ballygrant is a small rural village on the Scottish island of Islay, known for its traditional community and scenic Hebridean surroundings.
  • D. The Wee County
    The Wee County is the affectionate nickname for Clackmannanshire, Scotland’s smallest historic county by area.
  • E. Winter Street
    Winter Street is a short, busy commercial street in downtown Boston, Massachusetts, known for its shops and heavy pedestrian traffic near the Downtown Crossing area.
  • 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_69a8864a83848190a4ec02721306c511 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb07e5ed48190a7b8858e2b355109 completed March 7, 2026, 4:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69add1cb5b708190a0b89b157ea9da58 completed March 8, 2026, 7:45 p.m.
Created at: March 4, 2026, 7:33 p.m.