Triple
T18632604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Sweden |
E455459
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Borlänge |
—
|
NE NERFINISHED |
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: Borlänge | Statement: [Central Sweden, hasMajorCity, Borlänge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Borlänge Context triple: [Central Sweden, hasMajorCity, Borlänge]
-
A.
Borlänge
chosen
Borlänge is an industrial town in central Sweden’s Dalarna County, known for its steel production, logistics hub, and role as a regional commercial center.
-
B.
Bollnäs
Bollnäs is a small Swedish town known for its scenic lakeside setting, traditional wooden architecture, and strong bandy sports culture.
-
C.
Ljungan
Ljungan is a river in central Sweden that flows through Jämtland and Västernorrland counties before emptying into the Gulf of Bothnia.
-
D.
Österlen
Österlen is a picturesque rural area in southeastern Skåne, Sweden, known for its rolling farmland, coastal landscapes, and vibrant arts and tourism scene.
-
E.
Bollstanäs
Bollstanäs is a residential locality in Sweden situated within the suburban area of Upplands Väsby, north of Stockholm.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54fc5c7ec8190ab0c64f009583f96 |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 10, 2026, 11:46 a.m.