Triple

T17867139
Position Surface form Disambiguated ID Type / Status
Subject Pitlochry Festival Theatre E446731 entity
Predicate near P350 FINISHED
Object Ben Vrackie NE NERFINISHED

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: Ben Vrackie | Statement: [Pitlochry Festival Theatre, near, Ben Vrackie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ben Vrackie
Context triple: [Pitlochry Festival Theatre, near, Ben Vrackie]
  • A. Ben Vrackie chosen
    Ben Vrackie is a prominent hill in Perthshire, Scotland, popular with walkers for its scenic summit views over the town of Pitlochry and the surrounding Highlands.
  • B. Glen Schofield
    Glen Schofield is a video game developer and executive best known as the co-creator of the Dead Space series and a leader on major AAA action titles.
  • C. Paul Dierden
    Paul Dierden is a central character in the TV series "Orphan Black," known as a complex, morally ambiguous figure entangled in the conspiracy surrounding Sarah Manning and the clones.
  • D. Gordon Thiessen
    Gordon Thiessen is a Canadian economist who served as Governor of the Bank of Canada in the 1990s and early 2000s.
  • E. Gerald Hagey
    Gerald Hagey was a Canadian academic and administrator best known as the founding president who led the development of the University of Waterloo into a major institution.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f4c22c819093c2680434472894 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49a9f95688190aeace742e8e7c4c0 completed April 19, 2026, 9:04 a.m.
Created at: April 10, 2026, 10:17 a.m.