Triple

T7450387
Position Surface form Disambiguated ID Type / Status
Subject Oslo Metro Line 2 E171991 entity
Predicate hasStation P35 FINISHED
Object Lijordet station E667338 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: Lijordet station | Statement: [Oslo Metro Line 2, hasStation, Lijordet station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lijordet station
Context triple: [Oslo Metro Line 2, hasStation, Lijordet station]
  • A. Grefsen station
    Grefsen station is a railway station in Oslo, Norway, serving the Gjøvik Line and providing local and regional train connections for the Nordre Aker district.
  • B. Rotebro station
    Rotebro station is a commuter rail station in the northern Stockholm suburb of Rotebro, Sweden, serving local and regional train services.
  • C. Jordbro station
    Jordbro station is a commuter rail station in the Jordbro district of Haninge Municipality, south of central Stockholm, Sweden.
  • D. Rommen station chosen
    Rommen station is a metro stop in Oslo, Norway, located in the Groruddalen area and integrated into the city's rapid transit network.
  • E. Märsta Station
    Märsta Station is a key suburban railway hub in the town of Märsta, serving as a northern terminus and important node in the Stockholm commuter rail network.
  • 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_69c68a66554c8190add75c65942c0317 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f38af3fc8190bc5c57ca89d976bc completed March 27, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8682c7c64819081bc1110a3a6e305 completed March 28, 2026, 11:45 p.m.
Created at: March 27, 2026, 3:14 p.m.