Triple
T21775076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kløfta |
E537548
|
entity |
| Predicate | hasSportsClub |
P346
|
FINISHED |
| Object |
Kløfta IL
Kløfta IL is a Norwegian multi-sport club based in Kløfta, best known for its local football and athletics activities.
|
E1500403
|
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: Kløfta IL | Statement: [Kløfta, hasSportsClub, Kløfta IL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kløfta IL Context triple: [Kløfta, hasSportsClub, Kløfta IL]
-
A.
Kjelsås IL
Kjelsås IL is a Norwegian multi-sport club based in the Kjelsås neighborhood of Oslo, known for activities such as football, handball, and skiing.
-
B.
Hokksund IL
Hokksund IL is a Norwegian multi-sport club based in Hokksund, known for organizing local football and other athletic activities.
-
C.
Drøbak-Frogn IL
Drøbak-Frogn IL is a Norwegian sports club best known for its football program, which helped develop future international star Martin Ødegaard in his youth.
-
D.
Örgryte IS
Örgryte IS is a Swedish sports club best known for its historic football team, one of the oldest in Sweden, based in Gothenburg.
-
E.
Hasle-Løren IL
Hasle-Løren IL is a Norwegian sports club from Oslo known for its ice hockey program that helped develop NHL player Mats Zuccarello.
- 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: Kløfta IL Triple: [Kløfta, hasSportsClub, Kløfta IL]
Generated description
Kløfta IL is a Norwegian multi-sport club based in Kløfta, best known for its local football and athletics activities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kløfta IL Target entity description: Kløfta IL is a Norwegian multi-sport club based in Kløfta, best known for its local football and athletics activities.
-
A.
Kjelsås IL
Kjelsås IL is a Norwegian multi-sport club based in the Kjelsås neighborhood of Oslo, known for activities such as football, handball, and skiing.
-
B.
Hokksund IL
Hokksund IL is a Norwegian multi-sport club based in Hokksund, known for organizing local football and other athletic activities.
-
C.
Drøbak-Frogn IL
Drøbak-Frogn IL is a Norwegian sports club best known for its football program, which helped develop future international star Martin Ødegaard in his youth.
-
D.
Örgryte IS
Örgryte IS is a Swedish sports club best known for its historic football team, one of the oldest in Sweden, based in Gothenburg.
-
E.
Hasle-Løren IL
Hasle-Løren IL is a Norwegian sports club from Oslo known for its ice hockey program that helped develop NHL player Mats Zuccarello.
- 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_69e0c470759c819094a215757113562b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f04627bd488190bbc1fde8db417b55 |
completed | April 28, 2026, 5:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a367fe0c08190a9dce68881d84513 |
completed | May 17, 2026, 9:43 p.m. |
| NEDg | Description generation | batch_6a0a37d389288190a10a9af0ef9e7263 |
completed | May 17, 2026, 9:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a38343b6c8190b2e49605fad56bf7 |
completed | May 17, 2026, 9:50 p.m. |
Created at: April 16, 2026, 6:51 p.m.