Triple

T7471771
Position Surface form Disambiguated ID Type / Status
Subject Oslo Metro Line 4 E176523 entity
Predicate servesStation P839 FINISHED
Object Fossumveien station
Fossumveien station is a stop on the Oslo Metro network located in Oslo, Norway.
E690080 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: Fossumveien station | Statement: [Oslo Metro Line 4, servesStation, Fossumveien station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fossumveien station
Context triple: [Oslo Metro Line 4, servesStation, Fossumveien station]
  • A. Stovner station
    Stovner station is an Oslo Metro station in the Stovner neighborhood, serving as a stop on the city's eastern suburban transit network.
  • B. 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.
  • C. Frognerseteren station
    Frognerseteren station is a terminal Oslo Metro station located in the Frognerseteren area, known for its scenic surroundings and access to hiking and skiing trails.
  • D. Nydalen station
    Nydalen station is an Oslo Metro station serving the Nydalen area in the Nordre Aker borough of Oslo, Norway.
  • E. 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.
  • 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: Fossumveien station
Triple: [Oslo Metro Line 4, servesStation, Fossumveien station]
Generated description
Fossumveien station is a stop on the Oslo Metro network located in Oslo, Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fossumveien station
Target entity description: Fossumveien station is a stop on the Oslo Metro network located in Oslo, Norway.
  • A. Stovner station
    Stovner station is an Oslo Metro station in the Stovner neighborhood, serving as a stop on the city's eastern suburban transit network.
  • B. 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.
  • C. Frognerseteren station
    Frognerseteren station is a terminal Oslo Metro station located in the Frognerseteren area, known for its scenic surroundings and access to hiking and skiing trails.
  • D. Nydalen station
    Nydalen station is an Oslo Metro station serving the Nydalen area in the Nordre Aker borough of Oslo, Norway.
  • E. 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.
  • 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_69c69f223fd88190b4c69b95d7cbeeda completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f415b5cc81909e1e097c90f460b6 completed March 27, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c91b1532808190a0b85fa98ef24cfa completed March 29, 2026, 12:29 p.m.
NEDg Description generation batch_69c91c16d49481909afe69ac6d542a6c completed March 29, 2026, 12:33 p.m.
NED2 Entity disambiguation (via description) batch_69c91ccb3e348190b294789d17dbacf3 completed March 29, 2026, 12:36 p.m.
Created at: March 27, 2026, 3:41 p.m.