Triple

T10427958
Position Surface form Disambiguated ID Type / Status
Subject municipality of Ås E245834 entity
Predicate hasRailwayStation P918 FINISHED
Object Ås Station
Ås Station is a local railway station in the village of Ås in Viken County, Norway, serving regional passenger traffic on the Østfold Line.
 E864932 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: Ås Station | Statement: [municipality of Ås, hasRailwayStation, Ås Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ås Station
Context triple: [municipality of Ås, hasRailwayStation, Ås Station]
  • A. Østerås station
    Østerås station is an Oslo Metro rapid transit station serving the Østerås area in Bærum, Norway.
  • 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. Storo station
    Storo station is a major interchange stop in Oslo, Norway, connecting metro, tram, and bus services in the Storo/Nydalen area.
  • D. Hokksund Station
    Hokksund Station is a railway station in Hokksund, Norway, serving as a local and regional transport hub on the country’s rail network.
  • E. Veitvet station
    Veitvet station is a metro stop in Oslo, Norway, located in the Veitvet neighborhood and forming part of the city's rapid transit network.
  • 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: Ås Station
Triple: [municipality of Ås, hasRailwayStation, Ås Station]
Generated description
Ås Station is a local railway station in the village of Ås in Viken County, Norway, serving regional passenger traffic on the Østfold Line.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ås Station
Target entity description: Ås Station is a local railway station in the village of Ås in Viken County, Norway, serving regional passenger traffic on the Østfold Line.
  • A. Østerås station
    Østerås station is an Oslo Metro rapid transit station serving the Østerås area in Bærum, Norway.
  • 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. Storo station
    Storo station is a major interchange stop in Oslo, Norway, connecting metro, tram, and bus services in the Storo/Nydalen area.
  • D. Hokksund Station
    Hokksund Station is a railway station in Hokksund, Norway, serving as a local and regional transport hub on the country’s rail network.
  • E. Veitvet station
    Veitvet station is a metro stop in Oslo, Norway, located in the Veitvet neighborhood and forming part of the city's rapid transit network.
  • 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_69d381bf3dc08190bf35a2643e4e8f22 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea4a7dcc81909a830e08656a1c0c completed April 7, 2026, 11:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69d89f8a5b00819080c303bb0fc82f5a completed April 10, 2026, 6:58 a.m.
NEDg Description generation batch_69d8a1656b348190ba932d03402d6a4d completed April 10, 2026, 7:06 a.m.
NED2 Entity disambiguation (via description) batch_69d8a2b82bb48190899f37a967fef444 completed April 10, 2026, 7:11 a.m.
Created at: April 6, 2026, 12:13 p.m.