Triple

T6490968
Position Surface form Disambiguated ID Type / Status
Subject River Esk E148034 entity
Predicate flowsThrough P225 FINISHED
Object Castleton E106909 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: [River Esk, flowsThrough, Castleton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Castleton
Context triple: [River Esk, flowsThrough, 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 chosen
    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_69c009088f3081909cd467b05919de30 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a9a8d8481908d88e5c9f0c773f7 completed March 22, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c669e216608190af64f8e61ddf0feb completed March 27, 2026, 11:28 a.m.
Created at: March 22, 2026, 4:53 p.m.