Triple

T2500143
Position Surface form Disambiguated ID Type / Status
Subject Chatteris E52444 entity
Predicate locatedNear P294 FINISHED
Object Huntingdon E68608 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: Huntingdon | Statement: [Chatteris, locatedNear, Huntingdon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huntingdon
Context triple: [Chatteris, locatedNear, 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. Thetford
    Thetford is a historic market town in eastern England known for its ancient earthworks, links to Thomas Paine, and surrounding Breckland forest.
  • C. Northampton
    Northampton is a historic market town and the county town of Northamptonshire in the East Midlands of England.
  • D. Northampton
    Northampton is a small, culturally vibrant city in western Massachusetts known for its progressive community, arts scene, and historic New England character.
  • E. Abingdon
    Abingdon is a historic market town in Oxfordshire, England, often claimed to be one of the oldest continuously inhabited towns in the country.
  • 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_69ab4957b3a88190adf968ae0c1b931c completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1afd86c81909181c4b45d4f8bc5 completed March 7, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1fa0e26481908e383a6d44b3f3d5 completed March 9, 2026, 7:29 p.m.
Created at: March 6, 2026, 9:46 p.m.