Triple
T12159017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Finland |
E289654
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Kuhmoinen
Kuhmoinen is a rural municipality in Finland known for its lakeside landscapes, forests, and outdoor recreation opportunities.
|
E973871
|
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: Kuhmoinen | Statement: [Central Finland, hasMunicipality, Kuhmoinen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kuhmoinen Context triple: [Central Finland, hasMunicipality, Kuhmoinen]
-
A.
Kihlaus
Kihlaus is a comedic play by Finnish author Aleksis Kivi, known for its humorous portrayal of rural life and courtship.
-
B.
Kihniö
Kihniö is a small rural municipality in western Finland known for its forests, lakes, and location within the Pirkanmaa region.
-
C.
Kurikka
Kurikka is a municipality in the South Ostrobothnia region of western Finland, known for its rural landscapes and agricultural traditions.
-
D.
Mukkanuma
Mukkanuma is a traditional Japanese festival associated with the city of Kanuma, celebrated with local rituals and cultural events.
-
E.
Kauniainen
Kauniainen is a small, affluent town and municipality in southern Finland, completely surrounded by the city of Espoo and known for its high standard of living.
- 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: Kuhmoinen Triple: [Central Finland, hasMunicipality, Kuhmoinen]
Generated description
Kuhmoinen is a rural municipality in Finland known for its lakeside landscapes, forests, and outdoor recreation opportunities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kuhmoinen Target entity description: Kuhmoinen is a rural municipality in Finland known for its lakeside landscapes, forests, and outdoor recreation opportunities.
-
A.
Kihlaus
Kihlaus is a comedic play by Finnish author Aleksis Kivi, known for its humorous portrayal of rural life and courtship.
-
B.
Kihniö
Kihniö is a small rural municipality in western Finland known for its forests, lakes, and location within the Pirkanmaa region.
-
C.
Kurikka
Kurikka is a municipality in the South Ostrobothnia region of western Finland, known for its rural landscapes and agricultural traditions.
-
D.
Mukkanuma
Mukkanuma is a traditional Japanese festival associated with the city of Kanuma, celebrated with local rituals and cultural events.
-
E.
Kauniainen
Kauniainen is a small, affluent town and municipality in southern Finland, completely surrounded by the city of Espoo and known for its high standard of living.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915c277e481908351bf4e664dda42 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e4c19248190913451db0a084172 |
completed | May 2, 2026, 3:54 p.m. |
| NEDg | Description generation | batch_69f61f5b107c819082094791fcf7c5f4 |
completed | May 2, 2026, 3:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62006afcc8190b8e3b55a5fd8eaca |
completed | May 2, 2026, 4:02 p.m. |
Created at: April 8, 2026, 9:50 p.m.