Triple

T18501298
Position Surface form Disambiguated ID Type / Status
Subject Tram line 9 (Bern) E452070 entity
Predicate informationProvidedBy P17720 FINISHED
Object Bernmobil website 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: Bernmobil website | Statement: [Tram line 9 (Bern), informationProvidedBy, Bernmobil website]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bernmobil website
Context triple: [Tram line 9 (Bern), informationProvidedBy, Bernmobil website]
  • 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. BMWK
    BMWK is the German Federal Ministry responsible for economic policy and climate action at the national level.
  • C. BMW Welt
    BMW Welt is a futuristic multi-use exhibition, delivery, and event center in Munich that showcases BMW Group vehicles and technology.
  • D. Benz and Bimma
    "Benz and Bimma" is a popular dancehall track by Jamaican deejay Bounty Killer that celebrates luxury cars and street prestige.
  • E. MOBIKE
    MOBIKE is an extension to the IKEv2 protocol that enables seamless mobility and multihoming by allowing VPN connections to survive changes in a device’s IP address or network attachment point.
  • 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_69d8d3855d50819097fc8561b0299dd9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e532c43de48190b49b87c1bb591016 completed April 19, 2026, 7:53 p.m.
Created at: April 10, 2026, 11:36 a.m.