Triple

T1626354
Position Surface form Disambiguated ID Type / Status
Subject Latimer House E35152 entity
Predicate locatedNear P294 FINISHED
Object Amersham E229376 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: Amersham | Statement: [Latimer House, locatedNear, Amersham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amersham
Context triple: [Latimer House, locatedNear, Amersham]
  • A. Amersham chosen
    Amersham is a historic market town in southeast England known for its picturesque old town, Chilterns countryside setting, and role as a commuter hub into London.
  • B. Beaconsfield
    Beaconsfield is a suburban city on the western part of the Island of Montreal in Quebec, Canada, known for its residential character and waterfront along Lake Saint-Louis.
  • C. Beaconsfield
    Beaconsfield is a historic market town in South East England known for its affluent residential character and well-preserved old town architecture.
  • D. Buckingham
    Buckingham is a historic parliamentary borough in Buckinghamshire, England, that long served as a constituency represented in the British House of Commons.
  • E. Slough
    Slough is a large industrial and commercial town in southern England, known for its diverse population and proximity to London and Heathrow Airport.
  • 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_69a886023194819080a3fccd6e325d0e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a909d2fbe881908451ecd363cc33b0 completed March 5, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebef5ac7c81908015969c04fcc425 completed March 9, 2026, 12:37 p.m.
Created at: March 4, 2026, 7:28 p.m.