Triple
T1007923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacob Bjerknes |
E21754
|
entity |
| Predicate | nationality |
P2
|
FINISHED |
| Object | Norwegian |
E4052
|
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: Norwegian | Statement: [Jacob Bjerknes, nationality, Norwegian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norwegian Context triple: [Jacob Bjerknes, nationality, Norwegian]
-
A.
Bokmål
Bokmål is the most widely used written standard of the Norwegian language, employed in government, education, media, and everyday communication.
-
B.
Norwegian language
Norwegian is a North Germanic language spoken primarily in Norway, closely related to Danish and Swedish and featuring two official written standards, Bokmål and Nynorsk.
-
C.
Trøndersk dialect
The Trøndersk dialect is a group of Norwegian dialects spoken in the Trøndelag region, known for its distinctive pronunciation, vocabulary, and grammatical features within Norwegian.
-
D.
Nynorsk
Nynorsk is one of the two official written standards of the Norwegian language, based primarily on rural and western Norwegian dialects.
-
E.
Norwegians
chosen
Norwegians are a North Germanic ethnic group native to Norway, known for their Viking heritage, seafaring traditions, and strong social welfare society.
- 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_69a493c53e648190ae8cb76c433fd9a7 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7a2186c819081a495bc15f8c7fd |
completed | March 1, 2026, 10:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3ba9406c81909a13375fea05ee99 |
completed | March 7, 2026, 2:52 p.m. |
Created at: March 1, 2026, 7:41 p.m.