Triple

T13906607
Position Surface form Disambiguated ID Type / Status
Subject Harlow, Essex, England E334367 entity
Predicate hasPark P105 FINISHED
Object Harlow Town Park E643797 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: Harlow Town Park | Statement: [Harlow, Essex, England, hasPark, Harlow Town Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harlow Town Park
Context triple: [Harlow, Essex, England, hasPark, Harlow Town Park]
  • A. Harlow Town Park chosen
    Harlow Town Park is a large public green space in Harlow, Essex, featuring landscaped gardens, recreational facilities, and community events.
  • B. Barlow Park
    Barlow Park is a public recreational park located in the city of Ripon in central Wisconsin.
  • C. Nuttall Park
    Nuttall Park is a public recreational park in Ramsbottom, Greater Manchester, known for its open green spaces, riverside walks, and family-friendly facilities.
  • D. Baguley Park
    Baguley Park is a public green space in the Wythenshawe area of Manchester, England, offering recreational areas and natural surroundings for local residents.
  • E. Redlees Park
    Redlees Park is a public green space in Isleworth, Middlesex, England, offering recreational facilities and natural areas for local residents and visitors.
  • 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_69d81c5eaa9c819083b1ff8689179565 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de25dc26cc8190a7909980b1d34933 completed April 14, 2026, 11:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce7638a88190aae1b59c00ee27ce completed May 3, 2026, 10:38 p.m.
Created at: April 9, 2026, 10:16 p.m.