Triple

T6196064
Position Surface form Disambiguated ID Type / Status
Subject Østensjø E138510 entity
Predicate hasPublicTransport P1288 FINISHED
Object Hellerud station
Hellerud station is a metro station in Oslo, Norway, serving as a junction on the city's eastern subway network.
 E620880 NE FINISHED

How this triple was built (4 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: Hellerud station | Statement: [Østensjø, hasPublicTransport, Hellerud station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hellerud station
Context triple: [Østensjø, hasPublicTransport, Hellerud station]
  • A. Ulsrud station
    Ulsrud station is a metro station on the Oslo Metro network in Norway, serving the residential area of Ulsrud in the Østensjø borough.
  • B. Bålsta Station
    Bålsta Station is a key regional rail hub in Bålsta, Sweden, serving as the northwestern terminus for Stockholm’s commuter rail network and connecting local and long-distance services.
  • C. Henriksdal station
    Henriksdal station is a commuter rail stop in the Stockholm area that serves passengers on the Saltsjöbanan line.
  • D. Elverum Station
    Elverum Station is a railway station in the town of Elverum in Innlandet county, Norway, serving as a regional transport hub on the Røros Line.
  • E. Bøler station
    Bøler station is a metro station on the Oslo Metro’s Østensjø Line serving the Bøler neighborhood in Oslo, Norway.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hellerud station
Triple: [Østensjø, hasPublicTransport, Hellerud station]
Generated description
Hellerud station is a metro station in Oslo, Norway, serving as a junction on the city's eastern subway network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hellerud station
Target entity description: Hellerud station is a metro station in Oslo, Norway, serving as a junction on the city's eastern subway network.
  • A. Ulsrud station
    Ulsrud station is a metro station on the Oslo Metro network in Norway, serving the residential area of Ulsrud in the Østensjø borough.
  • B. Bålsta Station
    Bålsta Station is a key regional rail hub in Bålsta, Sweden, serving as the northwestern terminus for Stockholm’s commuter rail network and connecting local and long-distance services.
  • C. Henriksdal station
    Henriksdal station is a commuter rail stop in the Stockholm area that serves passengers on the Saltsjöbanan line.
  • D. Elverum Station
    Elverum Station is a railway station in the town of Elverum in Innlandet county, Norway, serving as a regional transport hub on the Røros Line.
  • E. Bøler station
    Bøler station is a metro station on the Oslo Metro’s Østensjø Line serving the Bøler neighborhood in Oslo, Norway.
  • F. None of above. chosen

Provenance (5 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_69c008ab9b3081908a11b2c744838435 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0624571508190bd273b4a051fbe41 completed March 22, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723a7e26c8190bdd0dd476eac3492 completed March 28, 2026, 12:41 a.m.
NEDg Description generation batch_69c7241cfde88190a6a085ec97a3707a completed March 28, 2026, 12:43 a.m.
NED2 Entity disambiguation (via description) batch_69c7245b93f081909d3d88c9ca273b77 completed March 28, 2026, 12:44 a.m.
Created at: March 22, 2026, 4:20 p.m.