Triple

T15021210
Position Surface form Disambiguated ID Type / Status
Subject Norwegian State Railways E378087 entity
Predicate successor P78 FINISHED
Object Flytoget E119736 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: Flytoget | Statement: [Norwegian State Railways, successor, Flytoget]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flytoget
Context triple: [Norwegian State Railways, successor, Flytoget]
  • A. Flytoget chosen
    Flytoget is Norway’s high-speed airport express train service that connects Oslo Airport with Oslo and surrounding areas.
  • B. Boende
    Boende is a town in the Democratic Republic of the Congo that serves as an important local center of trade and administration in the Tshuapa Province.
  • C. Hyra
    Hyra is the surname of American actress and producer Meg Ryan, known for her roles in popular romantic comedies of the late 20th century.
  • D. Boplicity
    Boplicity is a notable cool jazz composition closely associated with Miles Davis and featured on his influential Birth of the Cool recordings.
  • E. Opendoor
    Opendoor is a U.S.-based real estate technology company that pioneered the iBuyer model, enabling homeowners to sell their homes online quickly for cash offers.
  • 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded765462c819097f331c9b39c80e3 completed April 15, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dd2c96c8190a0368678584aaa16 completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 2:56 a.m.