Triple

T20456403
Position Surface form Disambiguated ID Type / Status
Subject RER Vaud E501798 entity
Predicate fareSystem P395 FINISHED
Object Mobilis 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: Mobilis Vaud | Statement: [RER Vaud, fareSystem, Mobilis Vaud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mobilis Vaud
Context triple: [RER Vaud, fareSystem, Mobilis Vaud]
  • A. Mobilis Vaud chosen
    Mobilis Vaud is the integrated public transport fare network for the canton of Vaud in Switzerland, covering trains, buses, and other regional transit services under a unified ticketing system.
  • B. Mustér
    Mustér is the Romansh name for the Swiss Alpine municipality and monastery town of Disentis in the canton of Graubünden.
  • C. Suter
    Suter is a surname of Germanic origin, often associated with individuals of Swiss or German heritage.
  • D. Magaro
    Magaro is an Italian-origin surname most notably borne by American actor John Magaro.
  • E. Bernmobil
    Bernmobil is the public transport company responsible for operating trams, buses, and other urban transit services in the Swiss city of Bern.
  • 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_69e0b4ad4940819098cf2ff6413574e5 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e696a1b03c8190984d9db6d3251308 completed April 20, 2026, 9:12 p.m.
Created at: April 16, 2026, 11:32 a.m.