Triple

T8981019
Position Surface form Disambiguated ID Type / Status
Subject Dulwich Village E214525 entity
Predicate hasGreenSpace P1495 FINISHED
Object Dulwich Wood E735013 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: Dulwich Wood | Statement: [Dulwich Village, hasGreenSpace, Dulwich Wood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dulwich Wood
Context triple: [Dulwich Village, hasGreenSpace, Dulwich Wood]
  • A. Dulwich Wood chosen
    Dulwich Wood is an ancient woodland in south London, valued as a rare remnant of the historic Great North Wood and a popular local nature and recreation area.
  • B. Cornard Wood
    Cornard Wood is a celebrated landscape painting by Thomas Gainsborough depicting the rural English countryside near Great Cornard in Suffolk.
  • C. Petts Wood
    Petts Wood is a suburban residential area in southeast London known for its commuter links, green spaces, and surrounding ancient woodland.
  • D. Sydenham Hill Wood
    Sydenham Hill Wood is an ancient woodland and nature reserve in south London, known for its rich biodiversity and remnants of Victorian garden landscaping.
  • E. Bricket Wood
    Bricket Wood is a village and residential community in Hertfordshire, England, known for its commuter links to London and surrounding countryside.
  • 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_69ca839ea8b88190922c6a326ffcc0d3 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc67a76f748190a4abad5d53d58fa8 completed April 1, 2026, 12:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc974f0f8819085c63deb53b95b80 completed April 3, 2026, 2:06 p.m.
Created at: March 30, 2026, 7:03 p.m.