Triple

T5705849
Position Surface form Disambiguated ID Type / Status
Subject Asker E125781 entity
Predicate hasRailwayStation P918 FINISHED
Object Asker Station
Asker Station is a major railway station in the town of Asker, Norway, serving as an important hub for regional and intercity train services.
E542132 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: Asker Station | Statement: [Asker, hasRailwayStation, Asker Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asker Station
Context triple: [Asker, hasRailwayStation, Asker Station]
  • A. Lysaker Station
    Lysaker Station is a major railway station in the Oslo metropolitan area of Norway, serving as an important commuter and regional transport hub.
  • B. 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.
  • C. 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.
  • D. Notodden stasjon
    Notodden stasjon is the main railway station serving the town of Notodden in Vestfold og Telemark county, Norway.
  • E. Lillestrøm Station
    Lillestrøm Station is a major railway hub in Lillestrøm, Norway, serving regional, intercity, and airport express trains in the Oslo area.
  • 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: Asker Station
Triple: [Asker, hasRailwayStation, Asker Station]
Generated description
Asker Station is a major railway station in the town of Asker, Norway, serving as an important hub for regional and intercity train services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Asker Station
Target entity description: Asker Station is a major railway station in the town of Asker, Norway, serving as an important hub for regional and intercity train services.
  • A. Lysaker Station
    Lysaker Station is a major railway station in the Oslo metropolitan area of Norway, serving as an important commuter and regional transport hub.
  • B. 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.
  • C. 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.
  • D. Notodden stasjon
    Notodden stasjon is the main railway station serving the town of Notodden in Vestfold og Telemark county, Norway.
  • E. Lillestrøm Station
    Lillestrøm Station is a major railway hub in Lillestrøm, Norway, serving regional, intercity, and airport express trains in the Oslo area.
  • 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_69c0082d6fe48190b777fb383769e5c8 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02459cd18819080fda0b481d11f08 completed March 22, 2026, 5:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a666d788190a0f786d12391a44b completed March 22, 2026, 9:08 p.m.
NEDg Description generation batch_69c05be7f7cc8190bb1f8081289c5e02 completed March 22, 2026, 9:15 p.m.
NED2 Entity disambiguation (via description) batch_69c0621308588190a0d7a86bb804134d completed March 22, 2026, 9:41 p.m.
Created at: March 22, 2026, 3:45 p.m.