Triple

T5312438
Position Surface form Disambiguated ID Type / Status
Subject Crawshawbooth E119062 entity
Predicate nearestTown P350 FINISHED
Object Rawtenstall E9454 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: Rawtenstall | Statement: [Crawshawbooth, nearestTown, Rawtenstall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rawtenstall
Context triple: [Crawshawbooth, nearestTown, Rawtenstall]
  • A. Rawtenstall chosen
    Rawtenstall is a small former mill town in Lancashire, England, known for its industrial heritage and location within the Rossendale Valley.
  • B. Ticknall
    Ticknall is a historic rural village in Derbyshire, England, known for its former lime industry, picturesque countryside, and proximity to Calke Abbey.
  • C. Heptonstall
    Heptonstall is a historic hilltop village in West Yorkshire, England, known for its cobbled streets, traditional stone buildings, and association with poet Sylvia Plath.
  • D. Stutton
    Stutton is a small rural village and civil parish in the county of Suffolk in eastern England.
  • E. Littondale
    Littondale is a scenic side valley of the Yorkshire Dales in North Yorkshire, England, known for its traditional villages, limestone scenery, and tranquil rural character.
  • 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_69bd446b57bc8190a513d2e6c40314f3 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd8535a1ec819094b2c5d3cfc57f56 completed March 20, 2026, 5:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21b546a481909d18cad5ec391705 completed March 21, 2026, 10:54 p.m.
Created at: March 20, 2026, 1:54 p.m.