Triple

T21411583
Position Surface form Disambiguated ID Type / Status
Subject Ripon E528183 entity
Predicate near P350 FINISHED
Object Masham 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: Masham | Statement: [Ripon, near, Masham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Masham
Context triple: [Ripon, near, 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. Humshaugh
    Humshaugh is a small village in Northumberland, England, situated near the River North Tyne and known for its rural character and historic surroundings.
  • D. 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.
  • E. Nitshill
    Nitshill is a residential district in the south-west of Glasgow, Scotland, known for its post-war housing estates and proximity to local transport links.
  • 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_69e0c454c248819093425d1099101c09 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b1fe2cd08190bfaf28daae4f5233 completed April 22, 2026, 11:33 a.m.
Created at: April 16, 2026, 5:43 p.m.