Triple
T13328375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Åråsen Stadion |
E317500
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object |
Åråsen
Åråsen is a football stadium in Lillestrøm, Norway, best known as the home ground of Lillestrøm SK.
|
E1034032
|
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 | Statement: [Åråsen Stadion, hasNickname, Åråsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Åråsen Context triple: [Åråsen Stadion, hasNickname, Åråsen]
-
A.
Øvre Årdal
Øvre Årdal is a small industrial village in Vestland county, Norway, known as a gateway to the Jotunheimen mountain area and its popular hiking routes.
-
B.
Langåra
Langåra is an island located within the municipality of Asker in Viken county, Norway.
-
C.
Årnes
Årnes is a small Norwegian town situated along the Glomma River, known as a local administrative and commercial center in Nes municipality in Viken county.
-
D.
Fagernes
Fagernes is a small town in central Norway that serves as a regional hub and gateway to the mountainous Valdres district.
-
E.
Ormåsen
Ormåsen is a small residential village in Øvre Eiker municipality in Buskerud county, Norway.
- 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 Triple: [Åråsen Stadion, hasNickname, Åråsen]
Generated description
Åråsen is a football stadium in Lillestrøm, Norway, best known as the home ground of Lillestrøm SK.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Åråsen Target entity description: Åråsen is a football stadium in Lillestrøm, Norway, best known as the home ground of Lillestrøm SK.
-
A.
Øvre Årdal
Øvre Årdal is a small industrial village in Vestland county, Norway, known as a gateway to the Jotunheimen mountain area and its popular hiking routes.
-
B.
Langåra
Langåra is an island located within the municipality of Asker in Viken county, Norway.
-
C.
Årnes
Årnes is a small Norwegian town situated along the Glomma River, known as a local administrative and commercial center in Nes municipality in Viken county.
-
D.
Fagernes
Fagernes is a small town in central Norway that serves as a regional hub and gateway to the mountainous Valdres district.
-
E.
Ormåsen
Ormåsen is a small residential village in Øvre Eiker municipality in Buskerud county, Norway.
- 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.