Triple

T11284031
Position Surface form Disambiguated ID Type / Status
Subject Swanley railway station E267137 entity
Predicate locatedNear P294 FINISHED
Object Swanley town centre E53388 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: Swanley town centre | Statement: [Swanley railway station, locatedNear, Swanley town centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swanley town centre
Context triple: [Swanley railway station, locatedNear, Swanley town centre]
  • A. Swanley chosen
    Swanley is a town in the Sevenoaks District of Kent, England, situated on the southeastern outskirts of Greater London.
  • B. Swanley Park
    Swanley Park is a public recreational park in Swanley, Kent, featuring lakes, play areas, and open green spaces for community leisure and events.
  • C. Swan Centre
    Swan Centre is a local shopping complex in Leatherhead, England, offering a range of retail stores and services.
  • D. Calder Vale
    Calder Vale is a small rural village in Lancashire, England, known for its historic mill and picturesque setting in the Forest of Bowland.
  • E. Totterdown
    Totterdown is a colorful, hilly residential district of Bristol, England, known for its steep streets and brightly painted Victorian and Edwardian houses.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9855e8881909bd301718cbd8ca1 completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e55639a5ec8190b979d5a280397f98 completed April 19, 2026, 10:24 p.m.
Created at: April 8, 2026, 9:31 p.m.