Triple

T10374251
Position Surface form Disambiguated ID Type / Status
Subject Vestby E244461 entity
Predicate hasRailwayStation P918 FINISHED
Object Sonsveien Station
Sonsveien Station is a railway station serving the village of Sonsveien in Vestby municipality in Viken county, Norway.
E861492 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: Sonsveien Station | Statement: [Vestby, hasRailwayStation, Sonsveien Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sonsveien Station
Context triple: [Vestby, hasRailwayStation, Sonsveien Station]
  • A. 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.
  • B. 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.
  • C. Fossumveien station
    Fossumveien station is a stop on the Oslo Metro network located in Oslo, Norway.
  • D. 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.
  • 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: Sonsveien Station
Triple: [Vestby, hasRailwayStation, Sonsveien Station]
Generated description
Sonsveien Station is a railway station serving the village of Sonsveien in Vestby municipality in Viken county, Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sonsveien Station
Target entity description: Sonsveien Station is a railway station serving the village of Sonsveien in Vestby municipality in Viken county, Norway.
  • A. 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.
  • B. 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.
  • C. Fossumveien station
    Fossumveien station is a stop on the Oslo Metro network located in Oslo, Norway.
  • D. 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.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9804e708190b15f5d38cac9c4c1 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fb98c52c8190a52682feacc2bd0d completed April 9, 2026, 7:18 p.m.
NEDg Description generation batch_69d8276261808190b5ae6fa77f0e145d completed April 9, 2026, 10:25 p.m.
NED2 Entity disambiguation (via description) batch_69d859b05a3881908c97cb173d160e44 completed April 10, 2026, 2 a.m.
Created at: April 6, 2026, 12:02 p.m.