Triple

T19402494
Position Surface form Disambiguated ID Type / Status
Subject Laconia E485363 entity
Predicate hasRecreationalArea P5383 FINISHED
Object Opechee Park 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: Opechee Park | Statement: [Laconia, hasRecreationalArea, Opechee Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Opechee Park
Context triple: [Laconia, hasRecreationalArea, Opechee Park]
  • A. Opechee Park chosen
    Opechee Park is a public recreational area in Laconia, New Hampshire, known for its lakeside setting, beach, sports facilities, and community events.
  • B. McFee Park
    McFee Park is a public recreational park located in the town of Farragut, Tennessee.
  • C. Fanno Creek Park
    Fanno Creek Park is a natural area and recreational park in the Portland, Oregon metropolitan region, featuring trails, wetlands, and wildlife habitat along Fanno Creek.
  • D. O’Leary Park
    O’Leary Park is a local public park and recreational green space located in East Grand Forks, Minnesota.
  • E. Nessler Park
    Nessler Park is a public recreational park in Texas City, Texas, featuring green spaces, sports facilities, and community amenities for residents and visitors.
  • 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e62577f808819099e74feab82b34a4 completed April 20, 2026, 1:09 p.m.
Created at: April 10, 2026, 1:36 p.m.