Triple

T19396642
Position Surface form Disambiguated ID Type / Status
Subject Wood Green E485206 entity
Predicate near P350 FINISHED
Object Palmers 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: Palmers Green | Statement: [Wood Green, near, Palmers Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Palmers Green
Context triple: [Wood Green, near, Palmers Green]
  • A. Palmers Green chosen
    Palmers Green is a suburban area in the London Borough of Enfield, known for its residential character and significant Greek and Cypriot community.
  • B. 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.
  • C. Winchmore Hill
    Winchmore Hill is a suburban residential area in north London known for its village-like green, period housing, and commuter links into central London.
  • D. Winchmore Hill
    Winchmore Hill is a small village in the Chiltern district of Buckinghamshire, England, known for its rural character and traditional English countryside setting.
  • E. Herne Hill
    Herne Hill is a residential district in South London known for its Victorian architecture, local markets, and proximity to Brockwell Park.
  • 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e62573f5788190a635b92121db2cf7 completed April 20, 2026, 1:09 p.m.
Created at: April 10, 2026, 1:36 p.m.