Triple

T10462437
Position Surface form Disambiguated ID Type / Status
Subject Barnet, London, England E246707 entity
Predicate contains P35 FINISHED
Object Trent Park E596134 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: Trent Park | Statement: [Barnet, London, England, contains, Trent Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trent Park
Context triple: [Barnet, London, England, contains, Trent Park]
  • A. Trent Park chosen
    Trent Park is a large historic country park in North London featuring woodlands, lakes, and open parkland popular for recreation and wildlife.
  • B. Northwick Park
    Northwick Park is a London Underground station in northwest London, primarily serving the surrounding residential and hospital areas.
  • C. Millward Park
    Millward Park is a local public park located in the city of Allen Park, Michigan, offering outdoor recreational space for residents and visitors.
  • D. Drayton Park
    Drayton Park is a residential area and railway station in Highbury, North London, located close to Arsenal’s Emirates Stadium.
  • E. Latimer Park
    Latimer Park is a public recreational area serving as a key community green space in Latimer.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50884fac48190af22e181b1492557 completed April 7, 2026, 1:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89fd865688190b0b5708481f397f4 completed April 10, 2026, 6:59 a.m.
Created at: April 6, 2026, 12:19 p.m.