Triple

T13036083
Position Surface form Disambiguated ID Type / Status
Subject 42 (school) E326563 entity
Predicate hasCampus P116 FINISHED
Object 42 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: 42 Lausanne | Statement: [42 (school), hasCampus, 42 Lausanne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 42 Lausanne
Context triple: [42 (school), hasCampus, 42 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-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.
  • C. 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.
  • D. Chexbres
    Chexbres is a picturesque Swiss village in the canton of Vaud, renowned for its terraced vineyards overlooking Lake Geneva and its location within the UNESCO-listed Lavaux wine-growing region.
  • E. Le Noirmont
    Le Noirmont is a municipality and village in the Jura canton of Switzerland, known for its location on the Franches-Montagnes plateau and its traditional watchmaking and rural character.
  • 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_69d8076cc45c81908123123f43e69266 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97f2a71a0819098bb6cf8a4b2208a completed April 10, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbcf11f88190ab1746f973132af1 completed May 3, 2026, 4:15 a.m.
Created at: April 9, 2026, 8:55 p.m.