Triple

T21648619
Position Surface form Disambiguated ID Type / Status
Subject Clermont, Florida E534278 entity
Predicate hasLake P1025 FINISHED
Object Lake Minnehaha 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: Lake Minnehaha | Statement: [Clermont, Florida, hasLake, Lake Minnehaha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Minnehaha
Context triple: [Clermont, Florida, hasLake, Lake Minnehaha]
  • A. Lake Minnehaha chosen
    Lake Minnehaha is a scenic freshwater lake in Clermont, Florida, popular for boating, fishing, and waterfront recreation.
  • B. Lake Winona
    Lake Winona is a small recreational lake located in Jefferson Township, New Jersey, known for local boating, fishing, and lakeside homes.
  • C. Lake Winona
    Lake Winona is a freshwater lake in New Hampshire known for recreational activities such as boating and fishing within the Merrimack River watershed.
  • D. Lake Winona
    Lake Winona is a recreational and scenic freshwater lake in the city of Winona, Minnesota, known for its parks, trails, and views of the surrounding bluffs.
  • E. Lac qui Parle Lake
    Lac qui Parle Lake is a reservoir in western Minnesota known for its wildlife-rich wetlands, recreational fishing and boating, and role in regional flood control along the Minnesota River.
  • 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_69e0c466aec88190ba39c7543dbc8ba2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef59131c88819082df8e5b87f5954b completed April 27, 2026, 12:39 p.m.
Created at: April 16, 2026, 6:35 p.m.