Triple

T22807101
Position Surface form Disambiguated ID Type / Status
Subject Hesperia Lake Park E564566 entity
Predicate name P16 FINISHED
Object Hesperia Lake 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: Hesperia Lake Park | Statement: [Hesperia Lake Park, name, Hesperia Lake Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hesperia Lake Park
Context triple: [Hesperia Lake Park, name, Hesperia Lake Park]
  • A. Hesperia Lake Park chosen
    Hesperia Lake Park is a public recreational area in Hesperia, California, known for its fishing lake, camping facilities, and outdoor community events.
  • B. Hesperia Park
    Hesperia Park is a public green space located in the Töölö district of Helsinki, Finland.
  • C. Topaz Lake Park
    Topaz Lake Park is a recreational area on the Nevada side of Topaz Lake offering outdoor activities such as camping, fishing, and boating.
  • D. Dryden Lake Park
    Dryden Lake Park is a public recreational area in the Town of Dryden, New York, known for its lakeside setting, outdoor activities, and natural scenery.
  • E. Masconomo Park
    Masconomo Park is a scenic waterfront public park in Manchester-by-the-Sea, Massachusetts, known for its harbor views, open green space, and community recreation areas.
  • 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_69e245823f4c8190ade442cdcc2c224a completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17d5d41dc819081912d9e29828bfb completed April 29, 2026, 3:39 a.m.
Created at: April 17, 2026, 3:32 p.m.