Triple

T23437207
Position Surface form Disambiguated ID Type / Status
Subject Prospect Park interior E563496 entity
Predicate hasPart P35 FINISHED
Object Lullwater 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: Lullwater | Statement: [Prospect Park interior, hasPart, Lullwater]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lullwater
Context triple: [Prospect Park interior, hasPart, Lullwater]
  • A. Lullwater chosen
    Lullwater is a tranquil, wooded lakeside area and walking path within Brooklyn’s Prospect Park, known for its scenic views and wildlife.
  • B. Radley Lake
    Radley Lake is a scenic body of water in Oxfordshire, England, closely associated with and forming part of the grounds of Radley College.
  • C. Webber Pond
    Webber Pond is a freshwater lake in Vassalboro, Maine, known for recreational activities such as fishing and boating.
  • D. Long Pond
    Long Pond is a scenic freshwater lake in Maine’s Belgrade Lakes region, popular for boating, fishing, and lakeside recreation.
  • E. Long Pond
    Long Pond is a freshwater lake located in the town of Pelham in southern New Hampshire, known for recreational activities such as boating and fishing.
  • 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_69e24553980c8190bb66a2ae0bdab125 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a5dcd4608190a543cc747e0daab8 completed April 29, 2026, 6:31 a.m.
Created at: April 17, 2026, 5:50 p.m.