Triple

T9492634
Position Surface form Disambiguated ID Type / Status
Subject Wellingborough E228926 entity
Predicate nearbySettlement P350 FINISHED
Object Northampton E81821 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: Northampton | Statement: [Wellingborough, nearbySettlement, Northampton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Northampton
Context triple: [Wellingborough, nearbySettlement, Northampton]
  • A. Northampton chosen
    Northampton is a historic market town and the county town of Northamptonshire in the East Midlands of England.
  • B. Northampton
    Northampton is a small, culturally vibrant city in western Massachusetts known for its progressive community, arts scene, and historic New England character.
  • C. Ipswich
    Ipswich is a historic town and port in Suffolk, England, known as one of the country’s oldest continuously inhabited settlements.
  • D. Ipswich
    Ipswich is a historic city in South East Queensland, Australia, known for its heritage architecture and role as a major residential and industrial hub west of Brisbane.
  • E. Hertford
    Hertford is a historic market town and the county town of Hertfordshire in southern 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_69ca847424f081908180305555139f7a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd80ca26bc819084add20027aea4a5 completed April 1, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12d27c0808190baf5ae04a1b915bb completed April 4, 2026, 3:24 p.m.
Created at: March 30, 2026, 7:56 p.m.