Triple

T10594524
Position Surface form Disambiguated ID Type / Status
Subject La Venoge E250074 entity
Predicate locatedNear P294 FINISHED
Object city of Lausanne E74605 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: city of Lausanne | Statement: [La Venoge, locatedNear, city of Lausanne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Lausanne
Context triple: [La Venoge, locatedNear, city of Lausanne]
  • A. Lausanne, Switzerland
    Lausanne, Switzerland is a picturesque city on the shores of Lake Geneva known for its role as an Olympic capital and its vibrant cultural and academic life.
  • B. Lausanne chosen
    Lausanne is a major Swiss city on the shores of Lake Geneva, known for hosting the International Olympic Committee and its vibrant cultural and academic institutions.
  • C. Lausanne-Sports
    Lausanne-Sports is the former name of FC Lausanne-Sport, a historic Swiss football club based in Lausanne that competes in the country’s top leagues.
  • D. Lausanne District
    Lausanne District is an administrative district in the canton of Vaud in western Switzerland that encompasses the city of Lausanne and its surrounding municipalities.
  • E. Bern, Switzerland
    Bern, Switzerland is the de facto capital of Switzerland, known for its well-preserved medieval old town, political institutions, and cultural heritage.
  • 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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5278bacd88190a50dedfa59b622fc completed April 7, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69de843dfe708190a14dc54be56b112d completed April 14, 2026, 6:15 p.m.
Created at: April 6, 2026, 12:41 p.m.