Triple

T15216482
Position Surface form Disambiguated ID Type / Status
Subject Bybanen E363648 entity
Predicate fareSystem P395 FINISHED
Object Skyss fare system E629363 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: Skyss fare system | Statement: [Bybanen, fareSystem, Skyss fare system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skyss fare system
Context triple: [Bybanen, fareSystem, Skyss fare system]
  • A. Skyss chosen
    Skyss is the public transport authority for Vestland county in Norway, responsible for coordinating bus, light rail, and some ferry services in the Bergen region.
  • B. Chessie System
    Chessie System was a major American railroad holding company formed in the 1970s that operated several eastern U.S. railroads under the iconic “Chessie the cat” branding before eventually becoming part of CSX Transportation.
  • C. SKY
    SKY is the ICAO airline designator used to identify Skymark Airlines in international aviation operations.
  • D. SKY
    SKY is the Amtrak station code for Sandusky station in Sandusky, Ohio, used for passenger rail ticketing and scheduling.
  • E. SKYPASS
    SKYPASS is Korean Air’s loyalty program that rewards frequent flyers with miles redeemable for flights, upgrades, and other travel benefits.
  • 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.