Triple

T3713718
Position Surface form Disambiguated ID Type / Status
Subject Hammersmith E81474 entity
Predicate hasPark P105 FINISHED
Object Brook Green E378918 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: Brook Green | Statement: [Hammersmith, hasPark, Brook Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brook Green
Context triple: [Hammersmith, hasPark, Brook Green]
  • A. Brook Green chosen
    Brook Green is a public park and residential area in the Hammersmith district of West London, known for its tree-lined green space and surrounding Victorian and Edwardian housing.
  • B. Peartree Green
    Peartree Green is a historic open space and local nature area in the Woolston district of Southampton, known for its greenery and community recreation.
  • C. Benhall Green
    Benhall Green is a small rural village located within the county of Suffolk in eastern England.
  • D. Butler Green
    Butler Green is a residential suburb within the town of Chadderton in Greater Manchester, England.
  • E. Richmond Green
    Richmond Green is a historic open space and recreational common in Richmond, London, known for its picturesque setting, cricket matches, and surrounding period architecture.
  • 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_69ad8b1a81588190b3f27a5483bb610e completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adc9ccfad081908730ed15c6f87ce2 completed March 8, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4ce0c3320819092ca5dd0694e167f completed March 14, 2026, 2:55 a.m.
Created at: March 8, 2026, 3:33 p.m.