Triple

T6350983
Position Surface form Disambiguated ID Type / Status
Subject Youngstorget E142868 entity
Predicate hasNearbyStation P5648 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: [Youngstorget, hasNearbyStation, Stortinget station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stortinget station
Context triple: [Youngstorget, hasNearbyStation, 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. 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.
  • C. 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.
  • D. 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.
  • E. Oppsal station
    Oppsal station is an Oslo Metro station on the Østensjø Line serving the residential neighborhood of Oppsal in Oslo, 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_69c008d6dcbc8190aa1c2f1fd8916b42 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c067dc2790819084aaf7067dc25733 completed March 22, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7616755d48190b285ff66ccd8bf3a completed March 28, 2026, 5:04 a.m.
Created at: March 22, 2026, 4:31 p.m.