Triple
T8729917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akaa |
E207225
|
entity |
| Predicate | hasNeighbouringMunicipality |
P224
|
FINISHED |
| Object |
Kylmäkoski
Kylmäkoski is a former municipality in the Pirkanmaa region of Finland, now part of the town of Akaa.
|
E757167
|
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: Kylmäkoski | Statement: [Akaa, hasNeighbouringMunicipality, Kylmäkoski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kylmäkoski Context triple: [Akaa, hasNeighbouringMunicipality, Kylmäkoski]
-
A.
Taivalkoski
Taivalkoski is a rural municipality in Northern Ostrobothnia, Finland, known for its forests, lakes, and outdoor recreation opportunities.
-
B.
Tikkakoski
Tikkakoski is a district in Jyväskylä, Finland, known for its military air base and role as a key center for the Finnish Air Force.
-
C.
Kokemäki
Kokemäki is a small town and municipality in the Satakunta region of western Finland, known for its location along the Kokemäenjoki River and its historical roots dating back to medieval times.
-
D.
Vaajakoski
Vaajakoski is a district of the city of Jyväskylä in Central Finland, known for its lakeside setting and industrial history.
-
E.
Koivukylä
Koivukylä is a residential district in the city of Vantaa, Finland, known for its suburban housing, local services, and good rail connections to the Helsinki metropolitan area.
- 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: Kylmäkoski Triple: [Akaa, hasNeighbouringMunicipality, Kylmäkoski]
Generated description
Kylmäkoski is a former municipality in the Pirkanmaa region of Finland, now part of the town of Akaa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kylmäkoski Target entity description: Kylmäkoski is a former municipality in the Pirkanmaa region of Finland, now part of the town of Akaa.
-
A.
Taivalkoski
Taivalkoski is a rural municipality in Northern Ostrobothnia, Finland, known for its forests, lakes, and outdoor recreation opportunities.
-
B.
Tikkakoski
Tikkakoski is a district in Jyväskylä, Finland, known for its military air base and role as a key center for the Finnish Air Force.
-
C.
Kokemäki
Kokemäki is a small town and municipality in the Satakunta region of western Finland, known for its location along the Kokemäenjoki River and its historical roots dating back to medieval times.
-
D.
Vaajakoski
Vaajakoski is a district of the city of Jyväskylä in Central Finland, known for its lakeside setting and industrial history.
-
E.
Koivukylä
Koivukylä is a residential district in the city of Vantaa, Finland, known for its suburban housing, local services, and good rail connections to the Helsinki metropolitan area.
- 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_69ca8358e4008190898471a59b96c301 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d26d280819085e15d4917c2b9a5 |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf5174db7881908597d5dc472adde9 |
completed | April 3, 2026, 5:34 a.m. |
| NEDg | Description generation | batch_69cf53e98a0081909055aacdb0549824 |
completed | April 3, 2026, 5:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf54de42a08190b1ccef9be3220c9e |
completed | April 3, 2026, 5:49 a.m. |
Created at: March 30, 2026, 6:37 p.m.