Triple

T854366
Position Surface form Disambiguated ID Type / Status
Subject River Tay E18456 entity
Predicate flowsThrough P225 FINISHED
Object Pitlochry E107345 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: Pitlochry | Statement: [River Tay, flowsThrough, Pitlochry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pitlochry
Context triple: [River Tay, flowsThrough, Pitlochry]
  • A. Pitlochry, Scotland chosen
    Pitlochry, Scotland is a picturesque Highland town known for its Victorian architecture, scenic surroundings, and popularity as a tourist destination.
  • B. Kirriemuir
    Kirriemuir is a small historic town in eastern Scotland, best known as the birthplace of Peter Pan author J. M. Barrie.
  • C. Aviemore
    Aviemore is a Scottish Highland town that serves as a major gateway and tourist hub for outdoor activities in the Cairngorms National Park.
  • D. Kincardine
    Kincardine is a small Scottish town on the north shore of the Firth of Forth, known for its historic bridge and industrial heritage.
  • E. Galashiels
    Galashiels is a town in the Scottish Borders known historically for its textile industry and as a regional commercial and educational hub.
  • 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_69a4938bdd3c8190a954a3c11844d9cf completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac3a48c08190b4677d825fcbfaf9 completed March 1, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae95c9bbfc81909a02cdca9c859d01 completed March 9, 2026, 9:41 a.m.
Created at: March 1, 2026, 7:39 p.m.