Triple
T3674391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jyväskylä |
E77953
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object |
Vaajakoski
Vaajakoski is a district of the city of Jyväskylä in Central Finland, known for its lakeside setting and industrial history.
|
E382654
|
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: Vaajakoski | Statement: [Jyväskylä, hasDistrict, Vaajakoski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vaajakoski Context triple: [Jyväskylä, hasDistrict, Vaajakoski]
-
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.
Luumäki
Luumäki is a rural municipality in South Karelia, southeastern Finland, known for its forests, lakes, and historical significance.
-
D.
Vihti
Vihti is a municipality in southern Finland located within the Uusimaa region, known for its lakes, rural landscapes, and proximity to the Helsinki metropolitan area.
-
E.
Lahdenpohja
Lahdenpohja is a small town in the Ladoga Karelia region of northwestern Russia, situated near the northern shores of Lake Ladoga.
- 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: Vaajakoski Triple: [Jyväskylä, hasDistrict, Vaajakoski]
Generated description
Vaajakoski is a district of the city of Jyväskylä in Central Finland, known for its lakeside setting and industrial history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vaajakoski Target entity description: Vaajakoski is a district of the city of Jyväskylä in Central Finland, known for its lakeside setting and industrial history.
-
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.
Luumäki
Luumäki is a rural municipality in South Karelia, southeastern Finland, known for its forests, lakes, and historical significance.
-
D.
Vihti
Vihti is a municipality in southern Finland located within the Uusimaa region, known for its lakes, rural landscapes, and proximity to the Helsinki metropolitan area.
-
E.
Lahdenpohja
Lahdenpohja is a small town in the Ladoga Karelia region of northwestern Russia, situated near the northern shores of Lake Ladoga.
- 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_69ad85e083008190b2e1b7085fe500bd |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc45fbd1c819099023791452f1beb |
completed | March 8, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4cde628c08190adc058d8d35a5e5d |
completed | March 14, 2026, 2:54 a.m. |
| NEDg | Description generation | batch_69b4cf6a84fc8190b07fbc31621bd871 |
completed | March 14, 2026, 3 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4d32caa7c81908332ac23bd4d9571 |
completed | March 14, 2026, 3:17 a.m. |
Created at: March 8, 2026, 3:25 p.m.