Triple

T11926834
Position Surface form Disambiguated ID Type / Status
Subject Keego Harbor, Michigan E283804 entity
Predicate nearbyLake P17985 FINISHED
Object Cass Lake E1133883 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: Cass Lake | Statement: [Keego Harbor, Michigan, nearbyLake, Cass Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cass Lake
Context triple: [Keego Harbor, Michigan, nearbyLake, Cass Lake]
  • A. Cass Lake chosen
    Cass Lake is a prominent inland lake in southeastern Michigan known for recreational boating, fishing, and lakeside residential communities.
  • B. White Earth Lake
    White Earth Lake is the English translation of the Dakota name "Bde Maka Ska," referring to a lake whose name means "White Earth Lake."
  • C. Bear Lake
    Bear Lake is a large natural freshwater lake on the Utah–Idaho border, renowned for its striking turquoise-blue water and popular recreational opportunities.
  • D. 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.
  • E. 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.
  • 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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e8e3ff308190851ce656286bc67e completed April 10, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69febfcbbf408190a87f471d2732148b completed May 9, 2026, 5:02 a.m.
Created at: April 8, 2026, 9:45 p.m.