Triple

T20604940
Position Surface form Disambiguated ID Type / Status
Subject Buckinghamshire E506279 entity
Predicate historicCountyTown P847 FINISHED
Object Aylesbury NE NERFINISHED

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: [Buckinghamshire, historicCountyTown, Aylesbury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aylesbury
Context triple: [Buckinghamshire, historicCountyTown, 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 (2 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_69e0b4bb2b4081908fa4a72444120f35 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aa233e1881908749d2f29c2946e4 completed April 20, 2026, 10:35 p.m.
Created at: April 16, 2026, 11:41 a.m.