Triple

T662533
Position Surface form Disambiguated ID Type / Status
Subject Arbroath Smokies E11786 entity
Predicate associatedWith P37 FINISHED
Object Angus E2212 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: Angus | Statement: [Arbroath Smokies, associatedWith, Angus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angus
Context triple: [Arbroath Smokies, associatedWith, Angus]
  • A. Angus chosen
    Angus is a historic county and region on the east coast of Scotland known for its rural landscapes, agriculture, and coastal towns.
  • B. Angus South
    Angus South is a Scottish Parliament constituency covering part of the Angus council area, including the town of Carnoustie.
  • C. Pinto
    Pinto is a municipality in the southern part of the Community of Madrid, Spain, known for its residential character and location near the region’s capital.
  • D. Barkley
    Barkley is a surname most notably associated with Alben W. Barkley, the 35th vice president of the United States under President Harry S. Truman.
  • E. Rough Collie
    The Rough Collie is a medium-to-large herding dog breed from Scotland, best known for its long, flowing double coat, pointed muzzle, and gentle, intelligent temperament popularized by the fictional character Lassie.
  • 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_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49fd081e8819097f289961f5eff29 completed March 1, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5c398cc748190ab720263096064ef completed March 2, 2026, 5:06 p.m.
Created at: March 1, 2026, 7:36 p.m.