Triple
T9151281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Närpes |
E219588
|
entity |
| Predicate | hasParish |
P35
|
FINISHED |
| Object | Närpes parish |
E219588
|
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: Närpes parish | Statement: [Närpes, hasParish, Närpes parish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Närpes parish Context triple: [Närpes, hasParish, Närpes parish]
-
A.
Närpes
chosen
Närpes is a bilingual coastal town and municipality in western Finland known for its greenhouse vegetable production and strong Swedish-speaking heritage.
-
B.
Persnäs
Persnäs is a small locality on the island of Öland in southeastern Sweden, situated within Borgholm Municipality and known for its rural landscape and traditional village character.
-
C.
Nusnäs
Nusnäs is a village in Sweden renowned as a traditional center for crafting the iconic painted wooden Dala horses.
-
D.
Hållnäs
Hållnäs is a rural coastal locality and peninsula in eastern Sweden known for its forests, farmland, and Baltic Sea shoreline within Tierp Municipality in Uppsala County.
-
E.
Norberg Municipality
Norberg Municipality is a local government area in Västmanland County, central Sweden, known for its historic mining communities and forested rural landscape.
- 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_69ca83e25418819093c6503deeaf30de |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca96b57888190a09a563f1fa522f6 |
completed | April 1, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0483cdd048190904260c44a5810cf |
completed | April 3, 2026, 11:07 p.m. |
Created at: March 30, 2026, 7:20 p.m.