Triple

T8957604
Position Surface form Disambiguated ID Type / Status
Subject London Borough of Waltham Forest E213514 entity
Predicate containsPart P35 FINISHED
Object Lloyd Park E925715 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: Lloyd Park | Statement: [London Borough of Waltham Forest, containsPart, Lloyd Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lloyd Park
Context triple: [London Borough of Waltham Forest, containsPart, Lloyd Park]
  • A. Lloyd Park chosen
    Lloyd Park is a public green space in Walthamstow known for its landscaped gardens, recreational facilities, and proximity to the William Morris Gallery.
  • B. Lamont Park
    Lamont Park is a neighborhood green space and community gathering spot located in the Mount Pleasant area of Washington, D.C.
  • 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. Aldrich Park
    Aldrich Park is a large central green space and botanical park that serves as the landscaped heart of the University of California, Irvine campus.
  • E. Glover Park
    Glover Park is a residential neighborhood in Washington, D.C. known for its tree-lined streets, row houses, and proximity to parks and embassies.
  • 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_69ca8399ad2081909f8fa41d4314c215 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6729ab7c8190a6168f0aa70a5520 completed April 1, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee85e044e881909d426f7121dd89e1 completed April 26, 2026, 9:38 p.m.
Created at: March 30, 2026, 7 p.m.