Triple
T22226640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kjernen |
E549354
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | RBK-support |
—
|
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: RBK-support | Statement: [Kjernen, hasAbbreviation, RBK-support]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RBK-support Context triple: [Kjernen, hasAbbreviation, RBK-support]
-
A.
RBK
RBK is the three-letter IATA airport code assigned to French Valley Airport in Riverside County, California.
-
B.
RBK
chosen
RBK is the commonly used abbreviation for Rosenborg Ballklub, a leading Norwegian football club based in Trondheim.
-
C.
CBK
CBK is the Central Bank of Kenya, the national monetary authority responsible for issuing currency and formulating and implementing the country’s monetary policy.
-
D.
CBK
CBK is the Central Bank of Kuwait, the country’s primary monetary authority responsible for issuing currency, regulating the banking sector, and formulating monetary policy.
-
E.
RSB
RSB is a Moroccan professional football club based in Berkane, known for its strong performances in domestic and African competitions.
- 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.