Triple

T18628801
Position Surface form Disambiguated ID Type / Status
Subject Lake Geneva, Wisconsin E455354 entity
Predicate hasLake P1025 FINISHED
Object Geneva 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: Geneva Lake | Statement: [Lake Geneva, Wisconsin, hasLake, Geneva Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geneva Lake
Context triple: [Lake Geneva, Wisconsin, hasLake, Geneva Lake]
  • A. Geneva Lake chosen
    Geneva Lake is a popular glacial lake in southeastern Wisconsin known for its resort communities, recreational boating, and scenic shoreline.
  • B. Lake Geneva
    Lake Geneva is a large crescent-shaped lake on the north side of the Alps, shared by Switzerland and France and renowned for its scenic beauty and surrounding cities like Geneva and Lausanne.
  • C. Lake of Gruyère
    Lake of Gruyère is an artificial reservoir in the Swiss canton of Fribourg, known for its scenic setting amid pre-Alpine landscapes and the nearby medieval town of Gruyères.
  • D. Upper Sûre Lake
    Upper Sûre Lake is a large artificial reservoir in northwestern Luxembourg, known for its scenic surroundings, water sports, and role as a major source of drinking water and hydroelectric power.
  • E. French Lake
    French Lake is a body of water in southern Minnesota near the city of Faribault, known for recreational activities such as fishing and boating.
  • 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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54f063a1c819087e544c64f5cf80f completed April 19, 2026, 9:54 p.m.
Created at: April 10, 2026, 11:46 a.m.