Triple
T14304388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ylivieska |
E354653
|
entity |
| Predicate | neighboringMunicipality |
P17964
|
FINISHED |
| Object |
Kalajoki
Kalajoki is a coastal town and municipality in Northern Ostrobothnia, Finland, known for its long sandy beaches and tourism.
|
E1305235
|
NE FINISHED |
How this triple was built (4 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: Kalajoki | Statement: [Ylivieska, neighboringMunicipality, Kalajoki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalajoki Context triple: [Ylivieska, neighboringMunicipality, Kalajoki]
-
A.
Kajaani
Kajaani is a small city in central Finland known for its historic castle ruins and role as a regional cultural and economic center in the Kainuu region.
-
B.
Sotkamo
Sotkamo is a municipality in eastern Finland known for its mining industry, outdoor recreation, and the popular Vuokatti ski and sports resort area.
-
C.
Loviisa
Loviisa is a small coastal town and municipality in southern Finland known for its historic wooden houses, seaside location, and nuclear power plant.
-
D.
Padasjoki
Padasjoki is a small municipality in southern Finland known for its lakeside landscapes and outdoor recreation opportunities.
-
E.
Kirkee
Kirkee is a cantonment town near Pune in Maharashtra, India, historically notable as the site of a major Anglo-Maratha War battle.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kalajoki Triple: [Ylivieska, neighboringMunicipality, Kalajoki]
Generated description
Kalajoki is a coastal town and municipality in Northern Ostrobothnia, Finland, known for its long sandy beaches and tourism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kalajoki Target entity description: Kalajoki is a coastal town and municipality in Northern Ostrobothnia, Finland, known for its long sandy beaches and tourism.
-
A.
Kajaani
Kajaani is a small city in central Finland known for its historic castle ruins and role as a regional cultural and economic center in the Kainuu region.
-
B.
Sotkamo
Sotkamo is a municipality in eastern Finland known for its mining industry, outdoor recreation, and the popular Vuokatti ski and sports resort area.
-
C.
Loviisa
Loviisa is a small coastal town and municipality in southern Finland known for its historic wooden houses, seaside location, and nuclear power plant.
-
D.
Padasjoki
Padasjoki is a small municipality in southern Finland known for its lakeside landscapes and outdoor recreation opportunities.
-
E.
Kirkee
Kirkee is a cantonment town near Pune in Maharashtra, India, historically notable as the site of a major Anglo-Maratha War battle.
- F. None of above. chosen
Provenance (5 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a035d724d588190a1fa67880c00a9cc |
completed | May 12, 2026, 5:03 p.m. |
| NEDg | Description generation | batch_6a036313d0f081908f6fd21f706e666d |
completed | May 12, 2026, 5:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0363640e34819091abe29dd1c96941 |
completed | May 12, 2026, 5:29 p.m. |
Created at: April 10, 2026, 1:12 a.m.