Triple

T21702145
Position Surface form Disambiguated ID Type / Status
Subject Milton E535683 entity
Predicate hasPart P35 FINISHED
Object Milton Park NE NERFINISHED

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: Milton Park | Statement: [Milton, hasPart, Milton Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Milton Park
Context triple: [Milton, hasPart, Milton Park]
  • A. Milton Park
    Milton Park is a public green space in the town of Alsager, Cheshire, providing local residents with recreational and leisure facilities.
  • B. Milton Park chosen
    Milton Park is a major business and science park in Oxfordshire, England, known for hosting numerous technology, research, and commercial companies.
  • C. Gidea Park
    Gidea Park is a suburban residential area in East London known for its early 20th-century garden suburb architecture and commuter links into central London.
  • D. Malvern Park
    Malvern Park is a public green space in Solihull, England, known for its landscaped gardens, recreational facilities, and community events.
  • E. Milton Parc
    Milton Parc is a central Montreal neighborhood known for its large cooperative housing project and proximity to McGill University.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46b44c0819088ab883ebd44e0e8 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef9b8161348190842c433531cfaa5b completed April 27, 2026, 5:23 p.m.
Created at: April 16, 2026, 6:45 p.m.