Triple

T16626869
Position Surface form Disambiguated ID Type / Status
Subject Châtellerault E403968 entity
Predicate twinnedWith P1072 FINISHED
Object Aylesbury E211123 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: Aylesbury | Statement: [Châtellerault, twinnedWith, Aylesbury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aylesbury
Context triple: [Châtellerault, twinnedWith, Aylesbury]
  • A. Aylesbury chosen
    Aylesbury is a historic market town in southern England that serves as an important commercial and administrative center in Buckinghamshire.
  • B. 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.
  • C. Leighton Buzzard
    Leighton Buzzard is a historic market town in southern England known for its traditional high street, canal-side setting, and proximity to London.
  • D. Bracknell Forest
    Bracknell Forest is a unitary authority area and borough in Berkshire, South East England, encompassing the town of Bracknell and surrounding communities.
  • E. Aylesbury Vale
    Aylesbury Vale is a largely rural district in Buckinghamshire, England, known for its market town of Aylesbury and its rolling agricultural 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e375530ed081908337dc5c6360d733 completed April 18, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0139e5f5988190a87b62d32bfb32fa completed May 11, 2026, 2:07 a.m.
Created at: April 10, 2026, 5:17 a.m.