Triple
T21371853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Köping |
E527084
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Västmanland County |
—
|
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: Västmanland County | Statement: [Köping, locatedIn, Västmanland County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Västmanland County Context triple: [Köping, locatedIn, Västmanland County]
-
A.
Västmanland County
chosen
Västmanland County is an administrative region in central Sweden known for its mix of industrial towns, forests, and lakes.
-
B.
Västmanland
Västmanland is a historic province in central Sweden known for its forests, lakes, and long tradition of mining and metallurgy.
-
C.
Södermanland County
Södermanland County is an administrative region in east-central Sweden known for its mix of coastal landscapes, forests, and historic towns such as Nyköping and Eskilstuna.
-
D.
Jämtland County
Jämtland County is a large, sparsely populated region in central Sweden known for its mountains, forests, and popular outdoor tourism areas.
-
E.
Uppsala County
Uppsala County is an administrative region in east-central Sweden known for its historic university city of Uppsala and its mix of cultural heritage and rural landscapes.
- 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_69e0b51e80808190ba5cb05667af02a9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0af44d88190aedd3b2127bb297d |
completed | April 22, 2026, 11:27 a.m. |
Created at: April 16, 2026, 5:10 p.m.