Triple

T13328361
Position Surface form Disambiguated ID Type / Status
Subject Åråsen Stadion E317500 entity
Predicate namedAfter P63 FINISHED
Object Åråsen farm area
Åråsen farm area is the historic agricultural estate in Lillestrøm, Norway, whose land and name were used for the nearby Åråsen Stadion.
 E1034031 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: Åråsen farm area | Statement: [Åråsen Stadion, namedAfter, Åråsen farm area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Åråsen farm area
Context triple: [Åråsen Stadion, namedAfter, Åråsen farm area]
  • A. Midtskogen farm
    Midtskogen farm is a notable Norwegian farmstead recognized for its historical and cultural significance in the Midtskogen area.
  • B. Haugen farm
    Haugen farm is the Norwegian site where the historic Tune Viking ship was unearthed.
  • C. Akkerhaugen
    Akkerhaugen is a small village in Telemark, Norway, known for its scenic lakeside setting and role as a local hub for tourism and agriculture.
  • D. Nørholm gård
    Nørholm gård is a historic Norwegian farm estate, best known as the longtime home of Nobel Prize–winning author Knut Hamsun.
  • E. Old Farm Park
    Old Farm Park is a public recreational park in Kentwood, Michigan, featuring green space, trails, and outdoor amenities for community use.
  • 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: Åråsen farm area
Triple: [Åråsen Stadion, namedAfter, Åråsen farm area]
Generated description
Åråsen farm area is the historic agricultural estate in Lillestrøm, Norway, whose land and name were used for the nearby Åråsen Stadion.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Åråsen farm area
Target entity description: Åråsen farm area is the historic agricultural estate in Lillestrøm, Norway, whose land and name were used for the nearby Åråsen Stadion.
  • A. Midtskogen farm
    Midtskogen farm is a notable Norwegian farmstead recognized for its historical and cultural significance in the Midtskogen area.
  • B. Haugen farm
    Haugen farm is the Norwegian site where the historic Tune Viking ship was unearthed.
  • C. Akkerhaugen
    Akkerhaugen is a small village in Telemark, Norway, known for its scenic lakeside setting and role as a local hub for tourism and agriculture.
  • D. Nørholm gård
    Nørholm gård is a historic Norwegian farm estate, best known as the longtime home of Nobel Prize–winning author Knut Hamsun.
  • E. Old Farm Park
    Old Farm Park is a public recreational park in Kentwood, Michigan, featuring green space, trails, and outdoor amenities for community use.
  • 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_69d806b4d62c81908d4ced1665414be5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9992e4f908190a6f172bf910cffb8 completed April 11, 2026, 12:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f2f69a88190b11e61a922786fc4 completed May 3, 2026, 10:10 a.m.
NEDg Description generation batch_69f71fe3cda881909916f7aac0664ead completed May 3, 2026, 10:13 a.m.
NED2 Entity disambiguation (via description) batch_69f72090b6b081908870801fdb679f57 completed May 3, 2026, 10:16 a.m.
Created at: April 9, 2026, 9:30 p.m.