Triple
T3479921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Övdalian |
E73464
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Älvdalen |
E72961
|
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: Älvdalen | Statement: [Övdalian, region, Älvdalen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Älvdalen Context triple: [Övdalian, region, Älvdalen]
-
A.
Älvdalen
chosen
Älvdalen is a small municipality in central Sweden known for its forested landscapes, traditional culture, and preservation of the unique Elfdalian language.
-
B.
Glåmdalen
Glåmdalen is a valley region in Eastern Norway known for the Glomma River and its surrounding agricultural and forested landscapes.
-
C.
Risberg
Risberg is a Swedish surname borne by various notable individuals, including athletes and public figures.
-
D.
Hallingdal
Hallingdal is a major valley and traditional district in southeastern Norway, known for its river, ski resorts, and rich folk culture.
-
E.
Verdal
Verdal is a municipality in central Norway known for its agricultural landscape, industrial activity, and the historic battlefield of Stiklestad.
- 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_69ad85b3c9b08190857cae74c7f36da9 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb7461708190898002fbd1191f34 |
completed | March 8, 2026, 6:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b37e5efe9c819087fbda6832598c04 |
completed | March 13, 2026, 3:02 a.m. |
Created at: March 8, 2026, 3:17 p.m.