Triple

T5824281
Position Surface form Disambiguated ID Type / Status
Subject Castleton railway station E129183 entity
Predicate servedPlace P3936 FINISHED
Object Castleton E104443 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: Castleton | Statement: [Castleton railway station, servedPlace, Castleton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Castleton
Context triple: [Castleton railway station, servedPlace, Castleton]
  • A. Castleton
    Castleton is a picturesque village in England’s Peak District, known for its surrounding hills, show caves, and historic Peveril Castle.
  • B. Castleton chosen
    Castleton is a suburban district and former industrial village within the Metropolitan Borough of Rochdale in Greater Manchester, England.
  • C. Castleton
    Castleton is a small village in North Yorkshire, England, situated within the scenic North York Moors National Park.
  • D. Castleton Corners
    Castleton Corners is a residential neighborhood on Staten Island in New York City, known for its suburban character and central location on the island.
  • E. Thistletown
    Thistletown is a residential neighbourhood in the northwestern part of Toronto, Ontario, known for its suburban character and diverse community.
  • 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_69c00849d55481908b4f9f5543e0bf6d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03418d410819092b6f5f6db45ed39 completed March 22, 2026, 6:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a188e5c08190abbc283eff193761 completed March 23, 2026, 2:12 a.m.
Created at: March 22, 2026, 3:53 p.m.