Triple

T12080894
Position Surface form Disambiguated ID Type / Status
Subject Rolle waterfront E287673 entity
Predicate waterBody P1778 FINISHED
Object Lac Léman E8337 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: Lac Léman | Statement: [Rolle waterfront, waterBody, Lac Léman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lac Léman
Context triple: [Rolle waterfront, waterBody, Lac Léman]
  • A. Lake Maggiore
    Lake Maggiore is a large glacial lake in the Italian Alps renowned for its scenic beauty, mild climate, and historic lakeside towns and islands.
  • B. Lake Neuchâtel
    Lake Neuchâtel is the largest lake entirely within Switzerland, located in the French-speaking western part of the country and known for its scenic shores and surrounding vineyards.
  • C. Lake Geneva chosen
    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.
  • D. Lake of Biel
    Lake of Biel is a scenic lake in western Switzerland’s Seeland region, known for its vineyards, islands, and role in the Jura water correction system.
  • E. Immensee
    Immensee is a picturesque lakeside village in the Swiss canton of Schwyz, known for its scenic setting on the shores of Lake Zug.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d904dc98a88190a5873f3fd8e1a0b2 completed April 10, 2026, 2:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e41191c81909284248d1b873b11 completed May 2, 2026, 3:54 p.m.
Created at: April 8, 2026, 9:48 p.m.