Triple

T15245208
Position Surface form Disambiguated ID Type / Status
Subject New Malden E364360 entity
Predicate absorbedArea P110149 FINISHED
Object Old Malden E420397 NE FINISHED

How this triple was built (3 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: Old Malden | Statement: [New Malden, absorbedArea, Old Malden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Old Malden
Context triple: [New Malden, absorbedArea, Old Malden]
  • A. Old Malden chosen
    Old Malden is a suburban area in the Royal Borough of Kingston upon Thames in southwest London, known for its residential character and local green spaces.
  • B. Mill Hill
    Mill Hill is a suburban area in the London Borough of Barnet, known for its residential character, green spaces, and local schools.
  • C. Mills Hill
    Mills Hill is a railway station in Greater Manchester, England, serving the local communities of Middleton and Chadderton.
  • D. Malvern Park
    Malvern Park is a public green space in Solihull, England, known for its landscaped gardens, recreational facilities, and community events.
  • E. Langley Mill
    Langley Mill is a village in Derbyshire, England, historically known as an industrial and transport hub where canals and railways converged.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: absorbedArea
Context triple: [New Malden, absorbedArea, Old Malden]
  • A. coveredArea
    Indicates that one entity occupies or extends over a specific spatial region or surface area associated with another entity.
  • B. representedArea
    Indicates that one entity serves as a representation or depiction of a particular area or region.
  • C. includesAreaOf chosen
    Indicates that one entity encompasses or contains the spatial extent or area covered by another entity.
  • D. coreAreaOf
    Indicates that one entity is the central, primary, or most important area or domain of focus for another entity.
  • E. area
    Indicates that one entity has a measured two-dimensional extent or surface size quantified by another entity.
  • F. None of above.

Provenance (4 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007f306f08190be448b215d6c9b6c completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5f184d481909eb4294ee3648226 completed May 9, 2026, 7:44 a.m.
PD Predicate disambiguation batch_69deca899d5c8190be4a7c71e1683c69 completed April 14, 2026, 11:15 p.m.
Created at: April 10, 2026, 3:13 a.m.