Triple

T11490900
Position Surface form Disambiguated ID Type / Status
Subject Sylvan Lake, Michigan E272405 entity
Predicate borders P224 FINISHED
Object Keego Harbor, Michigan E283804 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: Keego Harbor, Michigan | Statement: [Sylvan Lake, Michigan, borders, Keego Harbor, Michigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Keego Harbor, Michigan
Context triple: [Sylvan Lake, Michigan, borders, Keego Harbor, Michigan]
  • A. Keego Harbor, Michigan chosen
    Keego Harbor, Michigan is a small lakeside city in southeastern Michigan known for its residential character and proximity to Cass Lake.
  • B. Eagle Harbor, Michigan
    Eagle Harbor, Michigan is a small lakeside community and historic harbor village on the Keweenaw Peninsula along the shores of Lake Superior.
  • C. Bay Harbor, Michigan
    Bay Harbor, Michigan is a luxury resort and residential community on the shores of Lake Michigan known for its upscale amenities, marina, and scenic waterfront setting.
  • D. South Harbor
    South Harbor is a major harbor area within the Port of Tianjin, serving as one of its key zones for maritime trade and logistics operations.
  • E. South Harbor
    South Harbor is a light rail station in Cleveland, Ohio, serving as the eastern endpoint of the RTA Waterfront Line near the city's lakefront attractions.
  • 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_69d6aae1b09881909ce2ded3fa0c14fa completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85a21fb048190acb0960aefd4fe0a completed April 10, 2026, 2:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef822a90e48190874a87bd9a634685 completed April 27, 2026, 3:35 p.m.
Created at: April 8, 2026, 9:36 p.m.