Triple

T14746368
Position Surface form Disambiguated ID Type / Status
Subject Calne E346478 entity
Predicate near P350 FINISHED
Object Devizes E334960 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: Devizes | Statement: [Calne, near, Devizes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Devizes
Context triple: [Calne, near, Devizes]
  • A. Devizes chosen
    Devizes is a historic market town and civil parish in Wiltshire, England, known for its medieval origins and well-preserved architecture.
  • B. Leintwardine
    Leintwardine is a small historic village in Herefordshire, England, near the Welsh border, known for its Roman heritage and rural setting.
  • C. Glanville
    Glanville is a surname most prominently associated with Jerry Glanville, an American football coach and former NFL head coach known for his flamboyant personality and aggressive defensive style.
  • D. Grosmont
    Grosmont is a small village in North Yorkshire, England, known for its heritage railway station on the North Yorkshire Moors Railway and its scenic moorland surroundings.
  • E. Grosmont
    Grosmont is a historic village in Monmouthshire, Wales, known for its medieval castle and picturesque rural setting near the Welsh–English border.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7d116e88190828b163b18d80f68 completed April 14, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb982b5c8190a0340be2186f8b81 completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:30 a.m.