Triple

T10087963
Position Surface form Disambiguated ID Type / Status
Subject Bushey E215267 entity
Predicate adjacentTo P224 FINISHED
Object Oxhey E764979 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: Oxhey | Statement: [Bushey, adjacentTo, Oxhey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oxhey
Context triple: [Bushey, adjacentTo, Oxhey]
  • A. Oxhey chosen
    Oxhey is a suburban area in Hertfordshire, England, known for its residential character and proximity to South Oxhey and Watford.
  • B. South Oxhey
    South Oxhey is a residential suburb and former council estate located on the outskirts of Watford in the county of Hertfordshire, England.
  • C. Colney Heath
    Colney Heath is a village and civil parish in the county of Hertfordshire in the East of England.
  • D. Hertford Heath
    Hertford Heath is a village and civil parish in Hertfordshire, England, known for its rural character, common land, and proximity to the town of Hertford.
  • E. Croxley Green
    Croxley Green is a large village and residential suburb near Watford in southern England, known for its green spaces and commuter links to London.
  • 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_69ca83a1eed081908b2e9580f2ebeea7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd04875748190a81d1e9ad68dda96 completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e583ec2c819086429bd6d323d780 completed April 5, 2026, 10:43 p.m.
Created at: March 30, 2026, 9:01 p.m.