Triple

T4688845
Position Surface form Disambiguated ID Type / Status
Subject Arlanda Central Station E103984 entity
Predicate connectsTo P845 FINISHED
Object Åre
Åre is a major Swedish ski resort village in Jämtland, known for its alpine skiing, outdoor activities, and role as a prominent winter sports destination.
 E88146 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: Åre | Statement: [Arlanda Central Station, connectsTo, Åre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Åre
Context triple: [Arlanda Central Station, connectsTo, Åre]
  • A. Åre
    Åre is a well-known ski resort village in northern Sweden, recognized for its alpine skiing and winter sports tourism.
  • B. Åkersberga
    Åkersberga is a suburban town in eastern Sweden that serves as the main population and service center of Österåker Municipality, northeast of Stockholm.
  • C. Åsta
    Åsta is a river in southeastern Norway that serves as a notable tributary to the country’s longest river, the Glomma.
  • D. Mönsterås
    Mönsterås is a small coastal town and municipality in Kalmar County, southeastern Sweden, known for its Baltic Sea shoreline and traditional Swedish countryside.
  • E. Kyrkslätt
    Kyrkslätt is the Swedish name for Kirkkonummi, a coastal municipality in southern Finland located just west of Helsinki.
  • 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: Åre
Triple: [Arlanda Central Station, connectsTo, Åre]
Generated description
Åre is a major Swedish ski resort village in Jämtland, known for its alpine skiing, outdoor activities, and role as a prominent winter sports destination.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Åre
Target entity description: Åre is a major Swedish ski resort village in Jämtland, known for its alpine skiing, outdoor activities, and role as a prominent winter sports destination.
  • A. Åre chosen
    Åre is a well-known ski resort village in northern Sweden, recognized for its alpine skiing and winter sports tourism.
  • B. Åkersberga
    Åkersberga is a suburban town in eastern Sweden that serves as the main population and service center of Österåker Municipality, northeast of Stockholm.
  • C. Åsta
    Åsta is a river in southeastern Norway that serves as a notable tributary to the country’s longest river, the Glomma.
  • D. Mönsterås
    Mönsterås is a small coastal town and municipality in Kalmar County, southeastern Sweden, known for its Baltic Sea shoreline and traditional Swedish countryside.
  • E. Kyrkslätt
    Kyrkslätt is the Swedish name for Kirkkonummi, a coastal municipality in southern Finland located just west of Helsinki.
  • F. None of above.

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_69bd43df91f481908e9add1b617b60ef completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd6399621881909aa8ffb1c27284e9 completed March 20, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03ba56f88190bc9f6da051b5052f completed March 21, 2026, 2:34 a.m.
NEDg Description generation batch_69be077d06988190b3b20b48e4017abb completed March 21, 2026, 2:50 a.m.
NED2 Entity disambiguation (via description) batch_69be084a59e88190b1e0342a529b7b8f completed March 21, 2026, 2:54 a.m.
Created at: March 20, 2026, 1:16 p.m.