Triple

T7450394
Position Surface form Disambiguated ID Type / Status
Subject Oslo Metro Line 2 E171991 entity
Predicate hasStation P35 FINISHED
Object Tøyen station E577264 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: Tøyen station | Statement: [Oslo Metro Line 2, hasStation, Tøyen station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tøyen station
Context triple: [Oslo Metro Line 2, hasStation, Tøyen station]
  • A. Tøyen station chosen
    Tøyen station is an Oslo Metro station in the Tøyen neighborhood of Oslo, Norway, serving as a stop on the system’s Ring Line.
  • B. Skøyen Station
    Skøyen Station is a major railway and commuter hub in Oslo, Norway, serving regional and local trains as part of the city's western transport corridor.
  • C. Vegårshei Station
    Vegårshei Station is a railway station in Vegårshei, Norway, serving as a local stop on the Sørlandet Line.
  • D. Mortensrud station
    Mortensrud station is a metro station in Oslo, Norway, serving as the southern terminus of the Oslo Metro’s Line 3 in the Mortensrud neighborhood.
  • E. Gaustad station
    Gaustad station is a stop on Oslo’s metro network serving the Gaustad area, including nearby institutions such as the Rikshospitalet university hospital.
  • 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_69c902aadd308190bb130386af68464e completed March 29, 2026, 10:44 a.m.
Created at: March 27, 2026, 3:14 p.m.