Triple

T3985808
Position Surface form Disambiguated ID Type / Status
Subject Hendon E86868 entity
Predicate near P350 FINISHED
Object Golders Green E444768 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: Golders Green | Statement: [Hendon, near, Golders Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Golders Green
Context triple: [Hendon, near, Golders Green]
  • A. Golders Green chosen
    Golders Green is a suburban district in the London Borough of Barnet known for its diverse community, significant Jewish population, and busy high street with shops and restaurants.
  • B. Ealing Green
    Ealing Green is a small historic green and surrounding area in the London Borough of Ealing, known for its village-like feel, period architecture, and proximity to Ealing’s town center.
  • C. Edgware
    Edgware is a suburban district in north London known for its residential character, shopping facilities, and role as a transport hub on the London Underground.
  • D. Palmers Green
    Palmers Green is a suburban area in the London Borough of Enfield, known for its residential character and significant Greek and Cypriot community.
  • E. Cricklewood
    Cricklewood is a suburban district in northwest London, England, known for its residential character and proximity to major transport routes and green spaces.
  • 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_69aed93fd9d4819085d3b2137d2346cb completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9dfaf28819081b547836d79b889 completed March 9, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69bb809c4c6c8190abeb7a5bad4fab67 completed March 19, 2026, 4:50 a.m.
Created at: March 9, 2026, 3:33 p.m.