Triple
T12038164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vinjesvingen |
E286592
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Vinjesvingen (Norwegian) |
E286592
|
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: Vinjesvingen (Norwegian) | Statement: [Vinjesvingen, hasNameInLanguage, Vinjesvingen (Norwegian)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vinjesvingen (Norwegian) Context triple: [Vinjesvingen, hasNameInLanguage, Vinjesvingen (Norwegian)]
-
A.
Vinjesvingen
chosen
Vinjesvingen is a locality in Telemark, Norway, known primarily as the site of the World War II Battle of Vinjesvingen.
-
B.
Evenskjer
Evenskjer is a small village in Northern Norway that serves as an administrative and service center in the Troms region.
-
C.
Vestfossen
Vestfossen is a village in Buskerud, Norway, known for its industrial heritage and contemporary art scene, including the Vestfossen Kunstlaboratorium.
-
D.
Bjugn
Bjugn is a former municipality and coastal community in Trøndelag county, Norway, known for its fishing, agriculture, and location on the Fosen peninsula.
-
E.
Vøringsfossen
Vøringsfossen is one of Norway’s most famous and dramatic waterfalls, plunging into the Måbødalen valley in the Hardanger region.
- 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9040a8be881908f4841145a7b4e86 |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49d8a9af881909e28783b0d83ed82 |
completed | May 1, 2026, 12:33 p.m. |
Created at: April 8, 2026, 9:47 p.m.