Triple

T5290808
Position Surface form Disambiguated ID Type / Status
Subject Go-Ahead Nordic E119735 entity
Predicate brandName P1500 FINISHED
Object Go-Ahead Nordic E119735 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: Go-Ahead Nordic | Statement: [Go-Ahead Nordic, brandName, Go-Ahead Nordic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Go-Ahead Nordic
Context triple: [Go-Ahead Nordic, brandName, Go-Ahead Nordic]
  • A. Go-Ahead Nordic chosen
    Go-Ahead Nordic is a Scandinavian rail operator that runs passenger train services in Norway, including routes serving major hubs like Oslo Central Station.
  • B. Go-Ahead Group
    Go-Ahead Group is a major British public transport operator that runs bus and rail services in the UK and internationally.
  • C. Greyhound Lines
    Greyhound Lines is a major intercity bus company in North America, providing long-distance coach services across the United States and into Canada and Mexico.
  • D. First Transit
    First Transit is a North American public transportation management and contracting company that operates and maintains bus, paratransit, shuttle, and other transit services for municipalities and organizations.
  • 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_69bd446de5648190b313a90bd96730d2 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd84eac7b88190900142bd1310c0fd completed March 20, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06f066988190a3df7e270df84fdd completed March 21, 2026, 9 p.m.
Created at: March 20, 2026, 1:52 p.m.