Triple

T6424963
Position Surface form Disambiguated ID Type / Status
Subject River Ure E128035 entity
Predicate flowsThrough P225 FINISHED
Object Hawes E295794 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: Hawes | Statement: [River Ure, flowsThrough, Hawes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hawes
Context triple: [River Ure, flowsThrough, Hawes]
  • A. Hawes chosen
    Hawes is a small market town in North Yorkshire, England, known for its scenic location in Wensleydale and its traditional cheese-making heritage.
  • B. Hawkwell
    Hawkwell is a village and civil parish in the Rochford District of Essex, England, known for its residential character and proximity to the town of Rochford.
  • C. Hawkins
    Hawkins is a common English-language surname borne by numerous notable figures across fields such as music, sports, politics, and entertainment.
  • D. Wainhill
    Wainhill is a small hamlet in Oxfordshire, England, situated near the village of Chinnor in the Chiltern Hills.
  • E. Hooton
    Hooton is a village and residential area on the Wirral Peninsula in Cheshire, England, known for its transport links and proximity to major road and rail routes.
  • 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_69c00838de888190af2eec0b80495efa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0691e2e708190a9198cf61f92c6c2 completed March 22, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640df84288190ac4691f5a51bf22c completed March 27, 2026, 8:33 a.m.
Created at: March 22, 2026, 4:43 p.m.