Triple

T6014213
Position Surface form Disambiguated ID Type / Status
Subject Broad Blunsdon E133907 entity
Predicate locatedNear P294 FINISHED
Object Sevenhampton E448759 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: Sevenhampton | Statement: [Broad Blunsdon, locatedNear, Sevenhampton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sevenhampton
Context triple: [Broad Blunsdon, locatedNear, Sevenhampton]
  • A. Sevenhampton chosen
    Sevenhampton is a small rural village and civil parish in Wiltshire, England, known for its historic Church of St James and traditional English countryside setting.
  • B. Shorthampton
    Shorthampton is a small rural village in the West Oxfordshire district of Oxfordshire, England, known for its historic parish church and traditional countryside setting.
  • C. Windlesham
    Windlesham is a village and civil parish in the Surrey Heath district of Surrey, England, known for its affluent residential character and leafy surroundings.
  • D. Shottisham
    Shottisham is a small rural village and civil parish in the English county of Suffolk, known for its traditional countryside character and historic church.
  • E. Stadhampton
    Stadhampton is a small rural village in Oxfordshire, England, known for its historic parish church and traditional English countryside setting.
  • 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_69c0087361a48190905c6b55969852b8 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f544fd88190b6777c4db04e274f completed March 22, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c108ade3948190994fbaa2a5539216 completed March 23, 2026, 9:32 a.m.
Created at: March 22, 2026, 4:06 p.m.