Triple

T17028887
Position Surface form Disambiguated ID Type / Status
Subject Leyton E413137 entity
Predicate near P350 FINISHED
Object Walthamstow 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: Walthamstow | Statement: [Leyton, near, Walthamstow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walthamstow
Context triple: [Leyton, near, Walthamstow]
  • A. Walthamstow chosen
    Walthamstow is a district in northeast London, England, known for its diverse community, historic market, and role as a parliamentary constituency.
  • B. Leytonstone
    Leytonstone is a suburban district in East London, England, known for its residential character, local high street, and association with filmmaker Alfred Hitchcock.
  • C. East Ham
    East Ham is a district in East London, England, known for its diverse community and historic development as a suburban area of the city.
  • D. Wood Green
    Wood Green is a busy urban district and major shopping and transport hub in the London Borough of Haringey in north London.
  • E. Stoke Newington
    Stoke Newington is a residential district in the London Borough of Hackney known for its independent shops, diverse community, and vibrant cultural scene.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d5d858448190acfe81f10d83ed4b completed April 18, 2026, 7:04 p.m.
Created at: April 10, 2026, 5:33 a.m.