Triple

T8094045
Position Surface form Disambiguated ID Type / Status
Subject Haddenham E188937 entity
Predicate hasNearbySettlement P4647 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: [Haddenham, hasNearbySettlement, Aylesbury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aylesbury
Context triple: [Haddenham, hasNearbySettlement, 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_69ca82b7b3e88190b9041ab0ef28b3cb completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb429089cc81909e4625f9cc7e305f completed March 31, 2026, 3:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69d02f04ab008190a4c98a8f00ec4c20 completed April 3, 2026, 9:20 p.m.
Created at: March 30, 2026, 5:30 p.m.