Triple
T7034480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European route E63 |
E163346
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object |
Pieksämäki
Pieksämäki is a town in Southern Savonia, Finland, known as a regional transport hub with significant railway and road connections.
|
E646370
|
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: Pieksämäki | Statement: [European route E63, passesThrough, Pieksämäki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pieksämäki Context triple: [European route E63, passesThrough, Pieksämäki]
-
A.
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.
-
B.
Luumäki
Luumäki is a rural municipality in South Karelia, southeastern Finland, known for its forests, lakes, and historical significance.
-
C.
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.
-
D.
Vaajakoski
Vaajakoski is a district of the city of Jyväskylä in Central Finland, known for its lakeside setting and industrial history.
-
E.
Pöytyä
Pöytyä is a rural municipality in southwestern Finland known for its forests, agriculture, and small village communities.
- 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: Pieksämäki Triple: [European route E63, passesThrough, Pieksämäki]
Generated description
Pieksämäki is a town in Southern Savonia, Finland, known as a regional transport hub with significant railway and road connections.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pieksämäki Target entity description: Pieksämäki is a town in Southern Savonia, Finland, known as a regional transport hub with significant railway and road connections.
-
A.
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.
-
B.
Luumäki
Luumäki is a rural municipality in South Karelia, southeastern Finland, known for its forests, lakes, and historical significance.
-
C.
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.
-
D.
Vaajakoski
Vaajakoski is a district of the city of Jyväskylä in Central Finland, known for its lakeside setting and industrial history.
-
E.
Pöytyä
Pöytyä is a rural municipality in southwestern Finland known for its forests, agriculture, and small village communities.
- 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_69c6885d691c81908cf7d31083113886 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e212e28c8190bf38ce9a25d2032e |
completed | March 27, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b8bf005c81908fef30e26703da76 |
completed | March 28, 2026, 11:17 a.m. |
| NEDg | Description generation | batch_69c7b97893308190b349afb452d4e154 |
completed | March 28, 2026, 11:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7b9f805b88190866170fdd8ce07ff |
completed | March 28, 2026, 11:22 a.m. |
Created at: March 27, 2026, 2:36 p.m.