Triple

T19015825
Position Surface form Disambiguated ID Type / Status
Subject Kandersteg railway station E465345 entity
Predicate ownedBy P347 FINISHED
Object BLS AG 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: BLS AG | Statement: [Kandersteg railway station, ownedBy, BLS AG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BLS AG
Context triple: [Kandersteg railway station, ownedBy, BLS AG]
  • A. BLS AG chosen
    BLS AG is a major Swiss railway company that operates regional and commuter train services, particularly in and around the canton of Bern.
  • B. Brugg AG
    Brugg AG is a municipality in the canton of Aargau in northern Switzerland, known as a regional transport hub and local economic center.
  • C. BLS Schifffahrt
    BLS Schifffahrt is a Swiss shipping company that operates passenger boat services on lakes in the Bernese Oberland region.
  • D. Aral AG
    Aral AG is a major German brand of fuel stations and petroleum products, widely recognized for its network of service stations across Germany.
  • E. C. Lorenz AG
    C. Lorenz AG was a German electronics and communications company known for pioneering radio, radar, and navigation systems, including the influential Lorenz beam landing aid.
  • 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_69d8dd025c188190a1d81f5b4ec7e2c6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6db04fc819094709f223e30a526 completed April 20, 2026, 7:33 a.m.
Created at: April 10, 2026, 12:02 p.m.