Triple

T3153637
Position Surface form Disambiguated ID Type / Status
Subject Yorkshire Dales E65933 entity
Predicate majorSettlement P316 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: [Yorkshire Dales, majorSettlement, Hawes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hawes
Context triple: [Yorkshire Dales, majorSettlement, 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. Hawkins
    Hawkins is a common English-language surname borne by numerous notable figures across fields such as music, sports, politics, and entertainment.
  • C. 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.
  • D. Hempton
    Hempton is a small village in Norfolk, England, situated close to the market town of Fakenham.
  • E. Homersfield
    Homersfield is a small village and civil parish on the River Waveney in eastern England, known for its historic bridge and rural Suffolk setting.
  • 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_69ad8584485081909ed529e890cadc4a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5c3d6d481908c296e9e09c07f6f completed March 8, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2250088c48190a226031afda38d87 completed March 12, 2026, 2:29 a.m.
Created at: March 8, 2026, 3:05 p.m.