Triple
T10040644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nyland Brigade |
E205286
|
entity |
| Predicate | garrisonLocation |
P40
|
FINISHED |
| Object | Dragsvik |
E205284
|
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: Dragsvik | Statement: [Nyland Brigade, garrisonLocation, Dragsvik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dragsvik Context triple: [Nyland Brigade, garrisonLocation, Dragsvik]
-
A.
Dragsvik
chosen
Dragsvik is a Finnish military locality known for hosting a key coastal garrison of the Finnish Navy.
-
B.
Bergvik
Bergvik is a small locality in central Sweden situated within Söderhamn Municipality in Gävleborg County.
-
C.
Malvik
Malvik is a coastal municipality in central Norway, located in Trøndelag county near the city of Trondheim.
-
D.
Kvikne
Kvikne is a rural village area in central Norway, known historically for mining and as the birthplace of Nobel Prize–winning writer Bjørnstjerne Bjørnson.
-
E.
Håkvik
Håkvik is a small settlement in northern Norway, located within Narvik Municipality in Nordland county.
- 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_69ca834f70e88190b2d74828b7767ec1 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcee2e6d881908cfa0579f9be32e4 |
completed | April 2, 2026, 2:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d317367204819097d3ed6a72a0f8b5 |
completed | April 6, 2026, 2:15 a.m. |
Created at: March 30, 2026, 8:55 p.m.