Triple

T21350757
Position Surface form Disambiguated ID Type / Status
Subject A141 road E526469 entity
Predicate passesThrough P225 FINISHED
Object Huntingdon NE NERFINISHED

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: Huntingdon | Statement: [A141 road, passesThrough, Huntingdon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huntingdon
Context triple: [A141 road, passesThrough, Huntingdon]
  • A. Huntingdon chosen
    Huntingdon is a parliamentary constituency in Cambridgeshire, England, best known for being represented for many years by former UK Prime Minister John Major.
  • B. Huntingdon
    Huntingdon is a small town in southwestern Quebec, Canada, known as an administrative and service center for the surrounding rural region.
  • C. Thetford
    Thetford is a historic market town in eastern England known for its ancient earthworks, links to Thomas Paine, and surrounding Breckland forest.
  • D. Northampton
    Northampton is a historic market town and the county town of Northamptonshire in the East Midlands of England.
  • E. Northampton
    Northampton is a historic rural town in Western Australia's Mid West, known for its heritage architecture and surrounding agricultural and mining activities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b51cd5cc81909ac1187971e8a8ad completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8ad31087481909d41e9d28286f04d completed April 22, 2026, 11:12 a.m.
Created at: April 16, 2026, 5:04 p.m.