Triple

T21305044
Position Surface form Disambiguated ID Type / Status
Subject Bexleyheath E525172 entity
Predicate hasPark P105 FINISHED
Object Danson Park E1327074 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: Danson Park | Statement: [Bexleyheath, hasPark, Danson Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danson Park
Context triple: [Bexleyheath, hasPark, Danson Park]
  • A. Danson Park chosen
    Danson Park is a large historic public park in the London Borough of Bexley, known for its landscaped grounds, lake, and Georgian mansion, Danson House.
  • B. Hanson Park
    Hanson Park is a public park and recreational area located in the Belmont Cragin neighborhood on Chicago’s Northwest Side.
  • C. Woodruff Park
    Woodruff Park is a central urban green space and public gathering spot in downtown Atlanta known for its lawns, fountains, and community events.
  • D. Downs Park
    Downs Park is a residential suburb within the village and civil parish of Horndean in Hampshire, England.
  • E. Downs Park
    Downs Park is a waterfront public park in Anne Arundel County, Maryland, known for its Chesapeake Bay views, trails, picnic areas, and recreational facilities.
  • 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_69e0b518b8948190ad69cf9a8784d397 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e75aa341908190963c4368708860b8 completed April 21, 2026, 11:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09c291709481908028762a670654ff completed May 17, 2026, 1:28 p.m.
Created at: April 16, 2026, 4:05 p.m.