Triple

T4796205
Position Surface form Disambiguated ID Type / Status
Subject Hillfoots villages E106717 entity
Predicate hasVillage P4011 FINISHED
Object Coalsnaughton E108975 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: Coalsnaughton | Statement: [Hillfoots villages, hasVillage, Coalsnaughton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coalsnaughton
Context triple: [Hillfoots villages, hasVillage, Coalsnaughton]
  • A. Coalsnaughton chosen
    Coalsnaughton is a small village in central Scotland situated within the council area of Clackmannanshire.
  • B. Coryton
    Coryton is a suburban area and railway terminus in Cardiff, Wales, served by local commuter trains.
  • C. Ketteringham
    Ketteringham is a small village and civil parish in Norfolk, England, known for its rural character and historic parish church.
  • D. Loveclough
    Loveclough is a small village in Lancashire, England, situated in the Rossendale Valley and known for its rural setting and surrounding moorland.
  • E. Yattendon
    Yattendon is a small village and civil parish in Berkshire, England, known for its rural character and historic buildings.
  • 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_69bd43f591c881909e5a532388b0f3f3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6609e9888190b49f99bb9fb2279d completed March 20, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4d9a76c08190bd19fcef378cd640 completed March 21, 2026, 7:49 a.m.
Created at: March 20, 2026, 1:22 p.m.