Triple

T1111196
Position Surface form Disambiguated ID Type / Status
Subject Buckinghamshire E10606 entity
Predicate contains P35 FINISHED
Object High Wycombe E62771 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: High Wycombe | Statement: [Buckinghamshire, contains, High Wycombe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: High Wycombe
Context triple: [Buckinghamshire, contains, High Wycombe]
  • A. High Wycombe chosen
    High Wycombe is a large town in Buckinghamshire, England, historically significant as a major furniture-making center and as a key Royal Air Force command location during the Second World War.
  • B. Bracknell Forest
    Bracknell Forest is a unitary authority area and borough in Berkshire, South East England, encompassing the town of Bracknell and surrounding communities.
  • C. Bracknell
    Bracknell is a town in the English county of Berkshire, known as a post-war New Town and commercial centre in the Thames Valley.
  • D. Wantage
    Wantage is a historic market town in Oxfordshire, England, best known as the birthplace of King Alfred the Great.
  • E. Welwyn Garden City
    Welwyn Garden City is a planned English town in Hertfordshire, founded by Ebenezer Howard in the early 20th century as a model community combining the benefits of city and countryside.
  • 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_69acb2f3df34819090d942aad0a409fa completed March 7, 2026, 11:21 p.m.
Created at: March 1, 2026, 7:43 p.m.