Triple

T20289480
Position Surface form Disambiguated ID Type / Status
Subject Rich County E509979 entity
Predicate hasNotableFeature P642 FINISHED
Object Bear Lake 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: Bear Lake | Statement: [Rich County, hasNotableFeature, Bear Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bear Lake
Context triple: [Rich County, hasNotableFeature, Bear Lake]
  • A. Bear Lake
    Bear Lake is a scenic alpine lake in Colorado’s Rocky Mountain National Park, popular for its easy-access hiking trails and striking mountain views.
  • B. Bear Lake chosen
    Bear Lake is a large natural freshwater lake on the Utah–Idaho border, renowned for its striking turquoise-blue water and popular recreational opportunities.
  • C. Bear Lake
    Bear Lake is a small village in Manistee County, Michigan, known for its proximity to the lake of the same name and its rural, recreational setting.
  • D. Bear Lake
    Bear Lake is an inland lake in Muskegon County, Michigan, known for recreational activities such as boating and fishing and its connection to the larger Muskegon Lake.
  • E. Bear Lake
    Bear Lake is a freshwater lake located in Noble County in northeastern Indiana, known for its recreational opportunities and natural surroundings.
  • 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_69e0b4c652388190b782cad965e5a098 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e67694d50881909d59c1037295c1d0 completed April 20, 2026, 6:55 p.m.
Created at: April 16, 2026, 11:11 a.m.