Triple
T20094147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karlskoga |
E496352
|
entity |
| Predicate | hasSportsClub |
P346
|
FINISHED |
| Object |
BIK Karlskoga
BIK Karlskoga is a Swedish professional ice hockey club based in Karlskoga that competes in the country’s second-tier league, HockeyAllsvenskan.
|
E1411908
|
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: BIK Karlskoga | Statement: [Karlskoga, hasSportsClub, BIK Karlskoga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BIK Karlskoga Context triple: [Karlskoga, hasSportsClub, BIK Karlskoga]
-
A.
KB Karlskoga FF
KB Karlskoga FF is a Swedish football club based in Karlskoga that competes in the lower tiers of the national league system.
-
B.
Karlstad BK
Karlstad BK is a Swedish football club based in the city of Karlstad.
-
C.
BKV Norrtälje
BKV Norrtälje is a Swedish sports club best known for its football team based in the town of Norrtälje.
-
D.
Vittsjö GIK
Vittsjö GIK is a Swedish football club best known for its women’s team competing in the top tiers of Swedish women’s football.
-
E.
Mölnlycke
Mölnlycke is a locality in western Sweden that serves as the administrative and commercial center of Härryda Municipality in Västra Götaland County.
- 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: BIK Karlskoga Triple: [Karlskoga, hasSportsClub, BIK Karlskoga]
Generated description
BIK Karlskoga is a Swedish professional ice hockey club based in Karlskoga that competes in the country’s second-tier league, HockeyAllsvenskan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BIK Karlskoga Target entity description: BIK Karlskoga is a Swedish professional ice hockey club based in Karlskoga that competes in the country’s second-tier league, HockeyAllsvenskan.
-
A.
KB Karlskoga FF
KB Karlskoga FF is a Swedish football club based in Karlskoga that competes in the lower tiers of the national league system.
-
B.
Karlstad BK
Karlstad BK is a Swedish football club based in the city of Karlstad.
-
C.
BKV Norrtälje
BKV Norrtälje is a Swedish sports club best known for its football team based in the town of Norrtälje.
-
D.
Vittsjö GIK
Vittsjö GIK is a Swedish football club best known for its women’s team competing in the top tiers of Swedish women’s football.
-
E.
Mölnlycke
Mölnlycke is a locality in western Sweden that serves as the administrative and commercial center of Härryda Municipality in Västra Götaland County.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6666a7a94819080ebabfba9762f97 |
completed | April 20, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a082709bec8819085418d3d93108d81 |
completed | May 16, 2026, 8:12 a.m. |
| NEDg | Description generation | batch_6a08287484c4819089414c2780377ba7 |
completed | May 16, 2026, 8:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a082a4275e48190b6643e43399d97af |
completed | May 16, 2026, 8:26 a.m. |
Created at: April 11, 2026, 11:23 p.m.