Triple

T5997234
Position Surface form Disambiguated ID Type / Status
Subject Whyteleafe E133500 entity
Predicate hasGreenSpace P1495 FINISHED
Object Manor Park E292043 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: Manor Park | Statement: [Whyteleafe, hasGreenSpace, Manor Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manor Park
Context triple: [Whyteleafe, hasGreenSpace, Manor Park]
  • A. Manor Park
    Manor Park is a public park in Glossop, Derbyshire, known for its landscaped gardens, recreational facilities, and scenic views of the surrounding countryside.
  • B. Manor Park
    Manor Park is a residential neighbourhood of the town of Knutsford in Cheshire, England.
  • C. Manor Park
    Manor Park is a residential district in East London known for its diverse community and proximity to major transport links into central London.
  • D. Manor Park chosen
    Manor Park is a public green space in Aldershot, Hampshire, known for its open lawns, recreational facilities, and community events.
  • E. Topham Park
    Topham Park is a residential neighbourhood in the former borough of East York in Toronto, Ontario, known for its quiet streets and family-oriented community.
  • 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_69c00870ddbc81909880fa3864f4f38d completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04ee274e08190b6478c7ae318ae48 completed March 22, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16e985f34819091d28debdd5a2950 completed March 23, 2026, 4:47 p.m.
Created at: March 22, 2026, 4:05 p.m.