Triple

T15617214
Position Surface form Disambiguated ID Type / Status
Subject Glen Tanar E375446 entity
Predicate nearestTown P350 FINISHED
Object Aboyne E423117 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: Aboyne | Statement: [Glen Tanar, nearestTown, Aboyne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aboyne
Context triple: [Glen Tanar, nearestTown, Aboyne]
  • A. Aboyne chosen
    Aboyne is a village in Aberdeenshire, Scotland, known for its scenic Deeside location and annual Highland Games.
  • B. Hyndland
    Hyndland is an affluent residential district in Glasgow known for its historic tenement buildings, leafy streets, and vibrant local amenities.
  • C. Atholl
    Atholl is an affluent residential suburb located within the city of Sandton in Johannesburg, South Africa.
  • D. Atholl
    Atholl is a historic region and former earldom in the Scottish Highlands, known for its rugged landscapes, clan heritage, and association with the Dukes of Atholl.
  • E. Auchterderran
    Auchterderran is a small village and parish in Fife, Scotland, with historical ties to coal mining and close links to the nearby town of Cardenden.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e980b748190b43c0b650bf1e629 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffa9321f308190b8101162ed671e5e completed May 9, 2026, 9:37 p.m.
Created at: April 10, 2026, 4:13 a.m.