Triple

T3958449
Position Surface form Disambiguated ID Type / Status
Subject Craven E85837 entity
Predicate borders P224 FINISHED
Object Harrogate E51196 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: Harrogate | Statement: [Craven, borders, Harrogate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harrogate
Context triple: [Craven, borders, Harrogate]
  • A. Harrogate chosen
    Harrogate is a historic spa and conference town in North Yorkshire, England, known for its Victorian architecture, landscaped gardens, and former reputation as a fashionable health resort.
  • B. Pontefract
    Pontefract is a historic market town in northern England, noted for its medieval castle ruins and traditional liquorice confectionery.
  • C. Helmsley
    Helmsley is a historic market town in North Yorkshire, England, known for its medieval castle ruins and picturesque setting on the edge of the North York Moors.
  • D. Knaresborough
    Knaresborough is a historic market and spa town in northern England, known for its medieval castle ruins overlooking the River Nidd and its picturesque viaduct.
  • E. Hexham
    Hexham is a historic market town in Northumberland, England, known for its medieval abbey and proximity to Hadrian’s Wall.
  • 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_69aed93a96908190bcbdbfa718f155bd completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef95d47a88190a374ea92dd0ab0b8 completed March 9, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b533b1bd1c81909d901ee334cb7b31 completed March 14, 2026, 10:08 a.m.
Created at: March 9, 2026, 3:31 p.m.