Triple

T9020381
Position Surface form Disambiguated ID Type / Status
Subject River Gipping E215707 entity
Predicate flowsThrough P225 FINISHED
Object Needham Market E299702 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: Needham Market | Statement: [River Gipping, flowsThrough, Needham Market]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Needham Market
Context triple: [River Gipping, flowsThrough, Needham Market]
  • A. Needham Market chosen
    Needham Market is a small historic town in Suffolk, England, known for its traditional high street and location along the River Gipping.
  • B. Waltham Cross
    Waltham Cross is a town in southeastern England known for its historic Eleanor Cross and its location near the Greater London boundary.
  • C. Mill Hill
    Mill Hill is a suburban area in the London Borough of Barnet, known for its residential character, green spaces, and local schools.
  • D. Bennetts End
    Bennetts End is a residential area and suburb located within the county of Hertfordshire in England.
  • E. Neasden
    Neasden is a suburban area in northwest London, England, known for its residential character and proximity to major roads and rail links.
  • 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_69ca83a38aa88190bf1bb80c4548b5e2 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6a421c2c8190abb12c826066fe75 completed April 1, 2026, 12:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdbb92ffc81909de907f2bb64dd58 completed April 3, 2026, 3:24 p.m.
Created at: March 30, 2026, 7:07 p.m.