Triple

T6983203
Position Surface form Disambiguated ID Type / Status
Subject Kingswood railway station E161896 entity
Predicate locatedIn P40 FINISHED
Object Kingswood E161896 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: Kingswood | Statement: [Kingswood railway station, locatedIn, Kingswood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kingswood
Context triple: [Kingswood railway station, locatedIn, Kingswood]
  • A. Kingswood chosen
    Kingswood is a suburban residential area in the borough of Reigate and Banstead in Surrey, England, known for its leafy streets and affluent character.
  • B. Kingswood
    Kingswood is a suburban town in South Gloucestershire, England, forming part of the greater Bristol urban area.
  • C. Pelhamwood
    Pelhamwood is a historic residential neighborhood in Pelham, New York, known for its early 20th-century suburban design and distinctive period architecture.
  • D. Bricket Wood
    Bricket Wood is a village and residential community in Hertfordshire, England, known for its commuter links to London and surrounding countryside.
  • E. Sunningdale
    Sunningdale is an affluent village in Berkshire, England, known for its prestigious golf courses and leafy residential character.
  • 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_69c68855dc0481909b4c7e9e9ed273db completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db8fdad481908f211a8b333714bd completed March 27, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a0e34288190ad2decbc18190c6b completed March 28, 2026, 5:41 a.m.
Created at: March 27, 2026, 2:31 p.m.