Triple

T2824282
Position Surface form Disambiguated ID Type / Status
Subject Muskegon Lake E54883 entity
Predicate inflow P415 FINISHED
Object Bear Lake E551371 NE FINISHED

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: [Muskegon Lake, inflow, Bear Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bear Lake
Context triple: [Muskegon Lake, inflow, 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 an inland lake in Muskegon County, Michigan, known for recreational activities such as boating and fishing and its connection to the larger Muskegon Lake.
  • C. Bass Lake
    Bass Lake is a recreational lake and park area in Holly Springs, North Carolina, known for fishing, boating, and nature trails.
  • D. Bass Lake
    Bass Lake is a popular recreational reservoir in California’s Sierra Nevada, known for boating, fishing, and its proximity to Yosemite National Park.
  • E. Bosten Lake
    Bosten Lake is one of China's largest inland freshwater lakes, located in the arid region of Xinjiang and known for its ecological and agricultural importance.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ab49e100c0819082a40cb797383243 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde91487881909989c08bbf76f0da completed March 7, 2026, 8:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69c0b069d3fc8190bac9d178a571b72d completed March 23, 2026, 3:15 a.m.
Created at: March 6, 2026, 9:59 p.m.