Triple
T14304387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ylivieska |
E354653
|
entity |
| Predicate | neighboringMunicipality |
P17964
|
FINISHED |
| Object | Oulainen |
—
|
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: Oulainen | Statement: [Ylivieska, neighboringMunicipality, Oulainen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oulainen Context triple: [Ylivieska, neighboringMunicipality, Oulainen]
-
A.
Oulainen
chosen
Oulainen is a small town and municipality in Northern Ostrobothnia, Finland, known for its rural character and local cultural events.
-
B.
Kajansi
Kajansi is a township in Uganda located near Kampala, known for its strategic position along the Kampala–Entebbe road and its local market and trading activities.
-
C.
Otava
Otava is a major river in the Czech Republic that flows through southwestern Bohemia and is known for its scenic valleys, historical towns, and popularity for canoeing and recreation.
-
D.
Otava
Otava is a major Finnish publishing company known for producing a wide range of literature, non-fiction, and educational materials.
-
E.
Kangasala
Kangasala is a Finnish town and municipality in the Pirkanmaa region, known for its scenic ridge landscapes and lakes.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de85afabe48190926d6098047f4bcf |
completed | April 14, 2026, 6:21 p.m. |
Created at: April 10, 2026, 1:12 a.m.