Triple
T2993405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LSK Kvinner FK |
E81008
|
entity |
| Predicate | homeStadium |
P890
|
FINISHED |
| Object |
Åråsen Stadion
Åråsen Stadion is a football stadium in Lillestrøm, Norway, best known as the main home ground of Lillestrøm SK and a prominent venue in Norwegian football.
|
E317500
|
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 Stadion | Statement: [LSK Kvinner FK, homeStadium, Åråsen Stadion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Åråsen Stadion Context triple: [LSK Kvinner FK, homeStadium, Åråsen Stadion]
-
A.
Alfheim Stadion
Alfheim Stadion is a football stadium in Tromsø, Norway, best known as the home ground of the Norwegian club Tromsø IL.
-
B.
Sarpsborg Stadion
Sarpsborg Stadion is a football stadium in Sarpsborg, Norway, primarily used as the home ground of the club Sarpsborg 08 FF.
-
C.
Ullevaal Stadion
Ullevaal Stadion is Norway’s national football stadium and a major sports and events arena located in Oslo.
-
D.
Halden stadion
Halden stadion is a football stadium in Halden, Norway, primarily known as the home ground of the club Kvik Halden FK.
-
E.
Ullevi Stadium
Ullevi Stadium is a major multi-purpose arena in Gothenburg, Sweden, known for hosting large football matches, athletics events, and concerts.
- 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 Stadion Triple: [LSK Kvinner FK, homeStadium, Åråsen Stadion]
Generated description
Åråsen Stadion is a football stadium in Lillestrøm, Norway, best known as the main home ground of Lillestrøm SK and a prominent venue in Norwegian football.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Åråsen Stadion Target entity description: Åråsen Stadion is a football stadium in Lillestrøm, Norway, best known as the main home ground of Lillestrøm SK and a prominent venue in Norwegian football.
-
A.
Alfheim Stadion
Alfheim Stadion is a football stadium in Tromsø, Norway, best known as the home ground of the Norwegian club Tromsø IL.
-
B.
Sarpsborg Stadion
Sarpsborg Stadion is a football stadium in Sarpsborg, Norway, primarily used as the home ground of the club Sarpsborg 08 FF.
-
C.
Ullevaal Stadion
Ullevaal Stadion is Norway’s national football stadium and a major sports and events arena located in Oslo.
-
D.
Halden stadion
Halden stadion is a football stadium in Halden, Norway, primarily known as the home ground of the club Kvik Halden FK.
-
E.
Ullevi Stadium
Ullevi Stadium is a major multi-purpose arena in Gothenburg, Sweden, known for hosting large football matches, athletics events, and concerts.
- 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_69ad8b187fc8819085914d3c9ea3142d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99e12c5c8190af7cc20e4c48bf45 |
completed | March 8, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b109061684819086777d3b871c94f8 |
completed | March 11, 2026, 6:17 a.m. |
| NEDg | Description generation | batch_69b1196399e881908887513a3bdf7f98 |
completed | March 11, 2026, 7:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b119d306208190b53b059f0ff57712 |
completed | March 11, 2026, 7:29 a.m. |
Created at: March 8, 2026, 2:59 p.m.