Triple
T3442275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kven language |
E72591
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Ofoten Kven |
E322908
|
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: Ofoten Kven | Statement: [Kven language, hasDialect, Ofoten Kven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ofoten Kven Context triple: [Kven language, hasDialect, Ofoten Kven]
-
A.
Porsanger Kven
Porsanger Kven is a regional variety of the Kven language traditionally spoken by the Kven minority in the Porsanger area of northern Norway.
-
B.
Ofoten
chosen
Ofoten is a district in Nordland county in northern Norway, known for its fjords, mountains, and the port town of Narvik.
-
C.
Hafslund
Hafslund is a major Norwegian energy and utility company known for its role in electricity production, distribution, and related services.
-
D.
Catharina Bolnes
Catharina Bolnes was the wife of Dutch painter Johannes Vermeer and the mother of his many children, known primarily through her connection to the artist’s life and estate.
-
E.
Vilailuck Teigen
Vilailuck Teigen is a Thai-American television personality and social media figure best known as the mother of model and author Chrissy Teigen.
- 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_69ad85b05c848190b7a28ceec2bd7b74 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adba28ec448190a6a07c5f16235fe3 |
completed | March 8, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b360d0beb08190921d7cfe6b86eab2 |
completed | March 13, 2026, 12:56 a.m. |
Created at: March 8, 2026, 3:16 p.m.