Triple
T22226639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kjernen |
E549354
|
entity |
| Predicate | affiliation |
P10
|
FINISHED |
| Object | Rosenborg BK fan community |
—
|
NE NERFINISHED |
How this triple was built (2 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: Rosenborg BK fan community | Statement: [Kjernen, affiliation, Rosenborg BK fan community]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rosenborg BK fan community Context triple: [Kjernen, affiliation, Rosenborg BK fan community]
-
A.
Rosenborg BK
chosen
Rosenborg BK is a Norwegian professional football club from Trondheim, historically one of the country’s most successful teams and a dominant force in the Eliteserien.
-
B.
FC Roskilde
FC Roskilde is a Danish football club based in the city of Roskilde that competes in the national league system.
-
C.
Hønefoss BK
Hønefoss BK is a Norwegian football club based in Hønefoss that has competed in the country’s top divisions.
-
D.
Bryne FK
Bryne FK is a Norwegian football club known for developing striker Erling Haaland in its youth system.
-
E.
Moss FK
Moss FK is a Norwegian football club based in the town of Moss, known for competing in the national league system and representing the local community in association football.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e403d6481909a94d0aaf157f6ef |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12befe38c8190b547586e41b099b1 |
completed | April 28, 2026, 9:51 p.m. |
Created at: April 16, 2026, 8:37 p.m.