Triple

T3713717
Position Surface form Disambiguated ID Type / Status
Subject Hammersmith E81474 entity
Predicate hasPark P105 FINISHED
Object Ravenscourt Park E384160 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: Ravenscourt Park | Statement: [Hammersmith, hasPark, Ravenscourt Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ravenscourt Park
Context triple: [Hammersmith, hasPark, Ravenscourt Park]
  • A. Ravenscourt Park chosen
    Ravenscourt Park is a public park in the Hammersmith area of west London, known for its ornamental gardens, sports facilities, playgrounds, and historic setting.
  • B. Woodhouse Park
    Woodhouse Park is a residential neighbourhood within the Wythenshawe district of Manchester, England.
  • C. Grosvenor Park
    Grosvenor Park is a large Victorian-era public park in Chester, England, known for its formal gardens, riverside setting, and historic features.
  • D. Swinton Park
    Swinton Park is a local government electoral ward serving part of the Swinton area in Greater Manchester, England.
  • E. Grove Park
    Grove Park is a suburban area in southeast London, England, known for its residential character and rail links into central London.
  • 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_69b4f02784508190ac95306a7931f563 completed March 14, 2026, 5:20 a.m.
Created at: March 8, 2026, 3:33 p.m.