Triple

T5830273
Position Surface form Disambiguated ID Type / Status
Subject Swiss railway network E129327 entity
Predicate operator P179 FINISHED
Object BLS AG E110111 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: BLS AG | Statement: [Swiss railway network, operator, BLS AG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BLS AG
Context triple: [Swiss railway network, operator, 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. BLS Schifffahrt
    BLS Schifffahrt is a Swiss shipping company that operates passenger boat services on lakes in the Bernese Oberland region.
  • C. 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.
  • D. Insel Gruppe AG
    Insel Gruppe AG is a major Swiss hospital network and healthcare provider based in Bern.
  • E. Schluchseewerk AG
    Schluchseewerk AG is a German energy company best known for operating major hydropower and pumped-storage plants in the Black Forest region.
  • 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_69c00849d55481908b4f9f5543e0bf6d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0346905848190a8f541401da05604 completed March 22, 2026, 6:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c09866fd248190b4248a993051b732 completed March 23, 2026, 1:33 a.m.
Created at: March 22, 2026, 3:54 p.m.