Triple

T10594499
Position Surface form Disambiguated ID Type / Status
Subject La Venoge E250074 entity
Predicate flowsThrough P225 FINISHED
Object Lausanne District E526005 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: Lausanne District | Statement: [La Venoge, flowsThrough, Lausanne District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lausanne District
Context triple: [La Venoge, flowsThrough, Lausanne District]
  • A. Lausanne District chosen
    Lausanne District is an administrative district in the canton of Vaud in western Switzerland that encompasses the city of Lausanne and its surrounding municipalities.
  • B. canton of Geneva
    The canton of Geneva is the westernmost Swiss canton, encompassing the city of Geneva and serving as a major international, diplomatic, and financial hub.
  • C. Nyon District
    Nyon District is an administrative district in the canton of Vaud in western Switzerland, situated along Lake Geneva and functioning as part of the broader Geneva metropolitan region.
  • D. Fribourg agglomeration
    Fribourg agglomeration is the urban area centered on the city of Fribourg in western Switzerland, encompassing its surrounding suburban and commuter communities.
  • E. Lausanne
    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.
  • 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_69f69b76e0cc8190aa7303347e0183d4 completed May 3, 2026, 12:48 a.m.
Created at: April 6, 2026, 12:41 p.m.