Triple

T11227291
Position Surface form Disambiguated ID Type / Status
Subject Auchterarder E265727 entity
Predicate region P40 FINISHED
Object Strathearn E111457 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: Strathearn | Statement: [Auchterarder, region, Strathearn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Strathearn
Context triple: [Auchterarder, region, Strathearn]
  • A. Strathearn chosen
    Strathearn is a scenic valley region in central Scotland, known for its rural landscapes, historic towns, and the River Earn running through it.
  • B. Red Lodge
    Red Lodge is a small village and civil parish in Suffolk, England, known for its modern residential development and proximity to Newmarket.
  • C. Crossfield
    Crossfield is a surname most notably associated with Scott Crossfield, a pioneering American test pilot and aeronautical engineer.
  • D. Wauchope
    Wauchope is a rural town in New South Wales, Australia, known as a gateway to the hinterland near Port Macquarie and the surrounding Mid North Coast region.
  • E. Mount Scott
    Mount Scott is a prominent volcanic peak in southern Oregon that offers panoramic views of Crater Lake and the surrounding Cascade Range.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8ff7b40819089c835be710bc575 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad33fdf48190a7118c7c30577ec9 completed April 19, 2026, 10:23 a.m.
Created at: April 8, 2026, 9:30 p.m.