Triple

T7450371
Position Surface form Disambiguated ID Type / Status
Subject Oslo Metro Line 2 E171991 entity
Predicate passesThrough P225 FINISHED
Object Stortinget station E135577 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: Stortinget station | Statement: [Oslo Metro Line 2, passesThrough, Stortinget station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stortinget station
Context triple: [Oslo Metro Line 2, passesThrough, Stortinget station]
  • A. Eidsvoll Station
    Eidsvoll Station is a railway station in Eidsvoll, Norway, serving as a key stop on the country’s main rail routes.
  • B. Midtstuen station
    Midtstuen station is a stop on Oslo’s Holmenkollen Line of the Oslo Metro, serving the hillside residential areas northwest of the city center.
  • C. Trondheim Central Station
    Trondheim Central Station is the main railway hub in Trondheim, Norway, serving as a key junction for regional and long-distance train services across the country.
  • D. Drammen Station
    Drammen Station is a major railway hub in Drammen, Norway, connecting regional and long-distance train services to Oslo and other parts of the country.
  • E. Stortinget metro station chosen
    Stortinget metro station is a central underground station in Oslo’s metro system, serving as a major hub for lines running through the city center.
  • 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_69c8c7adaf3c819095214864b91316f6 completed March 29, 2026, 6:33 a.m.
Created at: March 27, 2026, 3:14 p.m.