Triple
T4043975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gjøvik |
E84018
|
entity |
| Predicate | hasSportsClub |
P346
|
FINISHED |
| Object |
FK Gjøvik-Lyn
FK Gjøvik-Lyn is a Norwegian football club based in the town of Gjøvik, competing in the national league system.
|
E408630
|
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: FK Gjøvik-Lyn | Statement: [Gjøvik, hasSportsClub, FK Gjøvik-Lyn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FK Gjøvik-Lyn Context triple: [Gjøvik, hasSportsClub, FK Gjøvik-Lyn]
-
A.
FK Bodø/Glimt
FK Bodø/Glimt is a Norwegian professional football club known for its attacking style of play and recent domestic success, including historic league titles.
-
B.
Bryne FK
Bryne FK is a Norwegian football club known for developing striker Erling Haaland in its youth system.
-
C.
Fredrikstad FK
Fredrikstad FK is a Norwegian professional football club based in the city of Fredrikstad, known for its historic success in the national league and cup competitions.
-
D.
Lillehammer FK
Lillehammer FK is a Norwegian football club based in the town of Lillehammer, competing in the lower tiers of the national league system.
-
E.
Stabæk Fotball
Stabæk Fotball is a Norwegian professional football club based in Bærum, known for competing in the country’s top divisions and developing notable players and coaches.
- 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: FK Gjøvik-Lyn Triple: [Gjøvik, hasSportsClub, FK Gjøvik-Lyn]
Generated description
FK Gjøvik-Lyn is a Norwegian football club based in the town of Gjøvik, competing in the national league system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FK Gjøvik-Lyn Target entity description: FK Gjøvik-Lyn is a Norwegian football club based in the town of Gjøvik, competing in the national league system.
-
A.
FK Bodø/Glimt
FK Bodø/Glimt is a Norwegian professional football club known for its attacking style of play and recent domestic success, including historic league titles.
-
B.
Bryne FK
Bryne FK is a Norwegian football club known for developing striker Erling Haaland in its youth system.
-
C.
Fredrikstad FK
Fredrikstad FK is a Norwegian professional football club based in the city of Fredrikstad, known for its historic success in the national league and cup competitions.
-
D.
Lillehammer FK
Lillehammer FK is a Norwegian football club based in the town of Lillehammer, competing in the lower tiers of the national league system.
-
E.
Stabæk Fotball
Stabæk Fotball is a Norwegian professional football club based in Bærum, known for competing in the country’s top divisions and developing notable players and coaches.
- 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_69aed930bd5c819083e7dcc14fc44f69 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb5d759c8190b61fbbe94ffe2bf7 |
completed | March 9, 2026, 4:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5564fb54c81909f40ca1d6f1e521e |
completed | March 14, 2026, 12:36 p.m. |
| NEDg | Description generation | batch_69b5579085608190937528de7e0f987e |
completed | March 14, 2026, 12:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b55828506081908181436282907b08 |
completed | March 14, 2026, 12:44 p.m. |
Created at: March 9, 2026, 3:37 p.m.