Triple
T5789017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosenborg BK |
E128344
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Rosenborg |
E128344
|
NE FINISHED |
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 | Statement: [Rosenborg BK, shortName, Rosenborg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rosenborg Context triple: [Rosenborg BK, shortName, Rosenborg]
-
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.
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.
-
C.
Lillestrøm SK
Lillestrøm SK is a Norwegian professional football club known for its passionate fan base, historic success in domestic competitions, and intense rivalry with other Oslo-area teams.
-
D.
Bryne FK
Bryne FK is a Norwegian football club known for developing striker Erling Haaland in its youth system.
-
E.
Viking FK
Viking FK is a Norwegian professional football club based in Stavanger that competes in the country’s top division, the Eliteserien.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c0084450048190bc647b649a05136b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a53d0148190bdebc4f5609939ac |
completed | March 22, 2026, 5:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16e75b76c8190881ce6ec2d093925 |
completed | March 23, 2026, 4:46 p.m. |
Created at: March 22, 2026, 3:51 p.m.