Triple

T1898421
Position Surface form Disambiguated ID Type / Status
Subject Bishop of Buckingham E37634 entity
Predicate namedAfter P63 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: [Bishop of Buckingham, namedAfter, Buckingham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buckingham
Context triple: [Bishop of Buckingham, namedAfter, 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. Buckingham
    Buckingham is a former municipality in western Quebec, Canada, now part of the city of Gatineau.
  • C. 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.
  • D. Beaconsfield
    Beaconsfield is a historic market town in South East England known for its affluent residential character and well-preserved old town architecture.
  • E. Amersham
    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.
  • 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_69a8861be7148190a680937ec451a304 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb170657481908662089511a8f301 completed March 7, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69af174f97248190817a64dfbf98c360 completed March 9, 2026, 6:54 p.m.
Created at: March 4, 2026, 7:35 p.m.