Triple

T14725399
Position Surface form Disambiguated ID Type / Status
Subject Kingswood E345925 entity
Predicate hasNeighbouringArea P17964 FINISHED
Object Warmley E360710 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: Warmley | Statement: [Kingswood, hasNeighbouringArea, Warmley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warmley
Context triple: [Kingswood, hasNeighbouringArea, Warmley]
  • A. Wormley
    Wormley is a village and civil parish in Hertfordshire, England, known for its residential character and proximity to the Lea Valley.
  • B. Northaw
    Northaw is a village and civil parish in southern England, known for its rural character and location within the county of Hertfordshire.
  • C. Holwell
    Holwell is a small rural village located within the North Hertfordshire district of Hertfordshire, England.
  • D. Longwell Green chosen
    Longwell Green is a suburban area and civil parish in South Gloucestershire, England, situated on the eastern outskirts of Bristol.
  • E. Banwell
    Banwell is a village and civil parish in North Somerset, England, known for its historic caves and medieval architecture.
  • 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec26013c8819090512f8b4df9cc87 completed April 14, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf09791e081908a1262717fd31445 completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:29 a.m.