Triple

T21903442
Position Surface form Disambiguated ID Type / Status
Subject EPFL Library E540868 entity
Predicate locatedInCanton P3942 FINISHED
Object Vaud 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: Vaud | Statement: [EPFL Library, locatedInCanton, Vaud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vaud
Context triple: [EPFL Library, locatedInCanton, Vaud]
  • A. Vaud chosen
    Vaud is a French-speaking canton in western Switzerland known for its picturesque Lake Geneva shoreline, Alpine scenery, and historic towns such as Lausanne and Montreux.
  • B. Vaud Jura
    Vaud Jura is a mountainous region in western Switzerland known for its forested Jura peaks, scenic lakes, and outdoor recreation.
  • C. Gros-de-Vaud
    Gros-de-Vaud is a predominantly rural district in the canton of Vaud, Switzerland, known for its agricultural landscape and small towns.
  • D. VAUD
    VAUD is the ICAO airport code assigned to Maharana Pratap Airport in Udaipur, India.
  • E. 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.
  • 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_69e0c47b4e8c81908c8076eaa4c8e4f2 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f121d3c23081908c30c3a617002389 completed April 28, 2026, 9:08 p.m.
Created at: April 16, 2026, 7:25 p.m.