Triple

T4586539
Position Surface form Disambiguated ID Type / Status
Subject Swindon E103379 entity
Predicate hasNeighbouringArea P17964 FINISHED
Object Highworth E146498 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: Highworth | Statement: [Swindon, hasNeighbouringArea, Highworth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Highworth
Context triple: [Swindon, hasNeighbouringArea, Highworth]
  • A. Highworth chosen
    Highworth is a historic market town in Wiltshire, England, known for its elevated position and traditional architecture.
  • B. Nailsworth
    Nailsworth is a small market town in Gloucestershire, England, known for its Cotswold setting and independent shops and eateries.
  • C. Northaw
    Northaw is a village and civil parish in southern England, known for its rural character and location within the county of Hertfordshire.
  • D. Rushworth
    Rushworth is the middle name of Lord Jellicoe, a British naval officer and statesman who served as First Sea Lord during World War I.
  • E. Holwell
    Holwell is a small rural village located within the North Hertfordshire district of Hertfordshire, England.
  • 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_69bd43dccaf08190aa89e9991a289719 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5906a43c81908fb11bf8f94be122 completed March 20, 2026, 2:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69bde0b1b014819085543bd297f925c1 completed March 21, 2026, 12:05 a.m.
Created at: March 20, 2026, 1:10 p.m.