Triple

T22451484
Position Surface form Disambiguated ID Type / Status
Subject IG postcode area E555001 entity
Predicate containsTown P847 FINISHED
Object Woodford Green 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: Woodford Green | Statement: [IG postcode area, containsTown, Woodford Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Woodford Green
Context triple: [IG postcode area, containsTown, Woodford Green]
  • A. Woodford Green chosen
    Woodford Green is a suburban area in the London Borough of Redbridge known for its large open green spaces and residential character on the northeastern edge of Greater London.
  • B. Colliers Green
    Colliers Green is a small rural settlement in the Cranbrook area of Kent, England, known for its agricultural surroundings and village community.
  • C. Milford Green
    Milford Green is a historic town green and central public park in Milford, Connecticut, serving as a focal point for community events and local civic life.
  • D. Stroud Green
    Stroud Green is a residential district in north London known for its Victorian terraces, independent shops, and proximity to Finsbury Park and Crouch End.
  • E. Colliers Wood
    Colliers Wood is a residential and commercial district in southwest London known for its shopping facilities, green spaces, and Underground station on the Northern line.
  • 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_69e11e5113208190ab58c6b595f9d1d0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b4ba6a88190a0a79e2c20fa8c08 completed April 29, 2026, 1:13 a.m.
Created at: April 16, 2026, 8:48 p.m.