Triple

T1111198
Position Surface form Disambiguated ID Type / Status
Subject Buckinghamshire E10606 entity
Predicate contains P35 FINISHED
Object Buckingham E118556 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: Buckingham | Statement: [Buckinghamshire, contains, Buckingham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buckingham
Context triple: [Buckinghamshire, contains, Buckingham]
  • A. Buckingham chosen
    Buckingham is a historic parliamentary borough in Buckinghamshire, England, that long served as a constituency represented in the British House of Commons.
  • 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. Westminster
    Westminster is a suburban city in the Denver metropolitan area of Colorado, known for its residential communities, parks, and proximity to the Rocky Mountains.
  • D. Egremont
    Egremont is a small rural town in southwestern Massachusetts known for its scenic Berkshire landscapes and historic New England character.
  • E. Uxbridge
    Uxbridge is a suburban town in West London, England, known as a major commercial and administrative centre and the terminus of a branch of the London Underground.
  • 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_69a493252a648190ac48f8742474a5e8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bb7742788190b320aec99e76ca41 completed March 1, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae0a966a6c81909d1d21c489340134 completed March 8, 2026, 11:47 p.m.
Created at: March 1, 2026, 7:43 p.m.