Triple

T15216458
Position Surface form Disambiguated ID Type / Status
Subject Bybanen E363648 entity
Predicate operator P179 FINISHED
Object Keolis Norge E27063 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: Keolis Norge | Statement: [Bybanen, operator, Keolis Norge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keolis Norge
Context triple: [Bybanen, operator, Keolis Norge]
  • A. Keolis chosen
    Keolis is a major French public transport operator that manages and operates bus, tram, metro, and rail networks in numerous cities worldwide.
  • B. Keolis Downer
    Keolis Downer is a major Australian public transport operator formed as a joint venture between Keolis (France) and Downer Group (Australia), running various rail, tram, and bus services across the country.
  • C. Go-Ahead Nordic
    Go-Ahead Nordic is a Scandinavian rail operator that runs passenger train services in Norway, including routes serving major hubs like Oslo Central Station.
  • D. Systra
    Systra is a global engineering and consulting firm specializing in mass transit and rail infrastructure projects.
  • E. Ruter
    Ruter is the public transport authority responsible for planning, coordinating, and managing bus, tram, metro, and some ferry services in Oslo and parts of Viken, Norway.
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0076f90c481909989befe031a2cae completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed343f51481908f04c35d37b39ad2 completed May 9, 2026, 6:25 a.m.
Created at: April 10, 2026, 3:11 a.m.