Triple

T4548957
Position Surface form Disambiguated ID Type / Status
Subject Bern trolleybus network E110114 entity
Predicate operator P179 FINISHED
Object Bernmobil E452064 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: Bernmobil | Statement: [Bern trolleybus network, operator, Bernmobil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bernmobil
Context triple: [Bern trolleybus network, operator, Bernmobil]
  • A. Bernmobil chosen
    Bernmobil is the public transport company responsible for operating trams, buses, and other urban transit services in the Swiss city of Bern.
  • B. Spragga Benz
    Spragga Benz is a prominent Jamaican dancehall deejay known for his influential 1990s hits and collaborations across reggae, hip hop, and international pop music.
  • C. Benz Velo
    The Benz Velo was one of the world’s first production automobiles, a lightweight, mass-produced car introduced by the German manufacturer Benz & Cie. in the late 19th century.
  • D. Bilen
    Bilen is a Cushitic language spoken primarily by the Bilen people in central Eritrea.
  • E. Neoplan
    Neoplan is a German bus and coach manufacturer renowned for its innovative, high-end touring and city buses.
  • 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_69bd4412524c8190be5bcc9ddee91848 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57f3f8348190868e274ac4df87ce completed March 20, 2026, 2:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdc56c0ce08190beb9d4f468b988f7 completed March 20, 2026, 10:08 p.m.
Created at: March 20, 2026, 1:05 p.m.