Triple

T5122552
Position Surface form Disambiguated ID Type / Status
Subject Liam Gillick E115502 entity
Predicate placeOfBirth P1 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: [Liam Gillick, placeOfBirth, Aylesbury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aylesbury
Context triple: [Liam Gillick, placeOfBirth, 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_69bd4442ade0819087b9461f892b206b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd78045e448190961db0ca7692370e completed March 20, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c65f9d763c81908bdc6d9cfc718a55 completed March 27, 2026, 10:44 a.m.
Created at: March 20, 2026, 1:42 p.m.