Triple
T1829919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southwest Finland |
E40737
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Koski Tl
Koski Tl is a small rural municipality in southwestern Finland known for its agricultural landscape and traditional Finnish countryside character.
|
E203447
|
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: Koski Tl | Statement: [Southwest Finland, containsMunicipality, Koski Tl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koski Tl Context triple: [Southwest Finland, containsMunicipality, Koski Tl]
-
A.
Taivalkoski
Taivalkoski is a rural municipality in Northern Ostrobothnia, Finland, known for its forests, lakes, and outdoor recreation opportunities.
-
B.
KOS
KOS is the vehicle registration code assigned to the town of Oświęcim in southern Poland.
-
C.
Kuvi
Kuvi is a Dravidian language spoken primarily by the Kuvi tribal communities in parts of Odisha and Andhra Pradesh in India.
-
D.
Kioni
Kioni is a picturesque seaside village on the Greek island of Ithaca, known for its traditional architecture and scenic harbor.
-
E.
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.
- 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: Koski Tl Triple: [Southwest Finland, containsMunicipality, Koski Tl]
Generated description
Koski Tl is a small rural municipality in southwestern Finland known for its agricultural landscape and traditional Finnish countryside character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Koski Tl Target entity description: Koski Tl is a small rural municipality in southwestern Finland known for its agricultural landscape and traditional Finnish countryside character.
-
A.
Taivalkoski
Taivalkoski is a rural municipality in Northern Ostrobothnia, Finland, known for its forests, lakes, and outdoor recreation opportunities.
-
B.
KOS
KOS is the vehicle registration code assigned to the town of Oświęcim in southern Poland.
-
C.
Kuvi
Kuvi is a Dravidian language spoken primarily by the Kuvi tribal communities in parts of Odisha and Andhra Pradesh in India.
-
D.
Kioni
Kioni is a picturesque seaside village on the Greek island of Ithaca, known for its traditional architecture and scenic harbor.
-
E.
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.
- 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_69a8864644bc8190b2358ab897194ac1 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0144cc08190abd1a6cf44e64daf |
completed | March 7, 2026, 4:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adbf6d49988190b8cb1773609a379b |
completed | March 8, 2026, 6:26 p.m. |
| NEDg | Description generation | batch_69adc07fff60819092b10dd0e417ac5a |
completed | March 8, 2026, 6:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adc0fd79c48190864f53a90517edc6 |
completed | March 8, 2026, 6:33 p.m. |
Created at: March 4, 2026, 7:32 p.m.