Triple

T109795
Position Surface form Disambiguated ID Type / Status
Subject Glenrothes E2221 entity
Predicate hasNeighbouringSettlement P4647 FINISHED
Object Cupar E21353 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: Cupar | Statement: [Glenrothes, hasNeighbouringSettlement, Cupar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cupar
Context triple: [Glenrothes, hasNeighbouringSettlement, Cupar]
  • A. Cupar chosen
    Cupar is a historic market town in eastern Scotland that once served as the county town of Fife.
  • B. Dunfermline
    Dunfermline is a historic Scottish town and former royal capital known for its medieval abbey and rich cultural heritage.
  • C. Kirkcaldy
    Kirkcaldy is a coastal town on the east coast of Scotland, known historically for its linoleum industry and as one of the largest settlements in Fife.
  • D. Dumfries
    Dumfries is a small historic town in Prince William County, Virginia, considered one of the oldest continuously chartered towns in the United States.
  • E. Kirriemuir
    Kirriemuir is a small historic town in eastern Scotland, best known as the birthplace of Peter Pan author J. M. Barrie.
  • 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_69a24fcdaeb48190a2d796677e4b3281 completed Feb. 28, 2026, 2:15 a.m.
NER Named-entity recognition batch_69a25b800d08819099a44429d5c82c68 completed Feb. 28, 2026, 3:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69a431d8941c8190b6336ccdbb33cc5b completed March 1, 2026, 12:32 p.m.
Created at: Feb. 28, 2026, 2:20 a.m.