Triple

T10651874
Position Surface form Disambiguated ID Type / Status
Subject HG postcode area E250988 entity
Predicate covers P1393 FINISHED
Object Masham E591527 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: Masham | Statement: [HG postcode area, covers, Masham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Masham
Context triple: [HG postcode area, covers, Masham]
  • A. Masham chosen
    Masham is a small market town in North Yorkshire, England, known for its historic square, traditional breweries, and scenic setting in the Yorkshire Dales.
  • B. Pittenweem
    Pittenweem is a historic fishing village and arts hub on the east coast of Scotland, known for its picturesque harbour and annual arts festival.
  • C. Sherramuir
    Sherramuir is a historic battlefield site in Scotland, best known as the location of the 1715 Jacobite rising clash between government and Jacobite forces.
  • D. Biggar
    Biggar is a small historic market town in Scotland known for its traditional high street, museums, and annual cultural events.
  • E. Biggar
    Biggar is a small coastal settlement on Walney Island in Cumbria, England, known for its traditional village character and proximity to the Irish Sea.
  • 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dff6ba688190b493689d60f616e0 completed April 8, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a69a57c81908bf99cac0c0a49f2 completed April 10, 2026, 10:32 p.m.
Created at: April 8, 2026, 9:06 p.m.