Triple

T18559276
Position Surface form Disambiguated ID Type / Status
Subject Well Creek E453587 entity
Predicate flowsThrough P225 FINISHED
Object Outwell NE NERFINISHED

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: Outwell | Statement: [Well Creek, flowsThrough, Outwell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Outwell
Context triple: [Well Creek, flowsThrough, Outwell]
  • A. Outwell chosen
    Outwell is a village and civil parish in the West Norfolk district of Norfolk, England, known for its rural character and historic fenland setting.
  • B. Backwell
    Backwell is a village and civil parish in North Somerset, England, known for its commuter links to Bristol and its mix of rural and suburban character.
  • C. Tracewell
    Tracewell is a surname most notably associated with individuals such as Robert J. Tracewell, an American politician and public figure.
  • D. The WELL
    The WELL is a major fitness, recreation, and wellness center serving students and the campus community at California State University, Sacramento.
  • E. Seiwell
    Seiwell is a surname most notably associated with American drummer Denny Seiwell, known for his work with Paul McCartney and Wings.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d388b0c881908e610a1c45b52640 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53808c3fc8190aac38b29296cee13 completed April 19, 2026, 8:16 p.m.
Created at: April 10, 2026, 11:42 a.m.