Triple

T10901151
Position Surface form Disambiguated ID Type / Status
Subject Wexford County E257443 entity
Predicate containsBodyOfWater P1778 FINISHED
Object Lake Mitchell E866680 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: Lake Mitchell | Statement: [Wexford County, containsBodyOfWater, Lake Mitchell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Mitchell
Context triple: [Wexford County, containsBodyOfWater, Lake Mitchell]
  • A. Lake Mitchell chosen
    Lake Mitchell is a popular recreational lake in Wexford County, Michigan, known for boating, fishing, and its connection to nearby Lake Cadillac.
  • B. White Lake
    White Lake is a small resort town and natural freshwater lake in southeastern North Carolina known for its clear, spring-fed waters and recreational tourism.
  • C. White Lake
    White Lake is a freshwater lake in western Michigan known for its recreational opportunities and proximity to the Lake Michigan shoreline.
  • D. White Lake
    White Lake is a large freshwater lake in Russia’s Vologda Oblast that forms an important link in the Volga–Baltic waterway system.
  • E. Torch Lake
    Torch Lake is a renowned, crystal-clear freshwater lake in northern Michigan known for its striking turquoise waters and recreational boating and fishing.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d761a3e83c81908dc48c0fb7935da7 completed April 9, 2026, 8:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f6a52daf1c81909c586e470a998073 completed May 3, 2026, 1:30 a.m.
Created at: April 8, 2026, 9:22 p.m.