Triple

T6440308
Position Surface form Disambiguated ID Type / Status
Subject Garland Day E138200 entity
Predicate locatedIn P40 FINISHED
Object Castleton unclear NED1 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: [Garland Day, locatedIn, Castleton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Castleton
Context triple: [Garland Day, locatedIn, 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
    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. chosen

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_69c008aa61ac8190bc96715ed79fe2d8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06967241c8190965bac395adf2d03 completed March 22, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6637ffa648190b39e9721c9a7c092 completed March 27, 2026, 11:01 a.m.
Created at: March 22, 2026, 4:46 p.m.