Triple
T9006352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nykarleby |
E215151
|
entity |
| Predicate | hasFinnishName |
P1435
|
FINISHED |
| Object |
Uusikaarlepyy
Uusikaarlepyy is a small bilingual coastal town in western Finland, known in Swedish as Nykarleby.
|
E770735
|
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: Uusikaarlepyy | Statement: [Nykarleby, hasFinnishName, Uusikaarlepyy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uusikaarlepyy Context triple: [Nykarleby, hasFinnishName, Uusikaarlepyy]
-
A.
Kärkölä
Kärkölä is a small municipality in southern Finland known for its rural character and historical ties to notable Finnish figures.
-
B.
Kankaanpää
Kankaanpää is a small town and municipality in the Satakunta region of western Finland, known for its surrounding forests and lakes.
-
C.
Leppävaara
Leppävaara is a major urban district and transport hub in Espoo, Finland, known for its large shopping center Sello and extensive rail and bus connections.
-
D.
Pirkkala
Pirkkala is a municipality in the Pirkanmaa region of southern Finland, located near the city of Tampere and known for its growing residential areas and proximity to Tampere-Pirkkala Airport.
-
E.
Rantasalmi
Rantasalmi is a rural municipality in the Southern Savonia region of eastern Finland, known for its lakeside landscapes and traditional Finnish countryside.
- 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: Uusikaarlepyy Triple: [Nykarleby, hasFinnishName, Uusikaarlepyy]
Generated description
Uusikaarlepyy is a small bilingual coastal town in western Finland, known in Swedish as Nykarleby.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Uusikaarlepyy Target entity description: Uusikaarlepyy is a small bilingual coastal town in western Finland, known in Swedish as Nykarleby.
-
A.
Kärkölä
Kärkölä is a small municipality in southern Finland known for its rural character and historical ties to notable Finnish figures.
-
B.
Kankaanpää
Kankaanpää is a small town and municipality in the Satakunta region of western Finland, known for its surrounding forests and lakes.
-
C.
Leppävaara
Leppävaara is a major urban district and transport hub in Espoo, Finland, known for its large shopping center Sello and extensive rail and bus connections.
-
D.
Pirkkala
Pirkkala is a municipality in the Pirkanmaa region of southern Finland, located near the city of Tampere and known for its growing residential areas and proximity to Tampere-Pirkkala Airport.
-
E.
Rantasalmi
Rantasalmi is a rural municipality in the Southern Savonia region of eastern Finland, known for its lakeside landscapes and traditional Finnish countryside.
- 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_69ca83a12d648190b1e4fe11e8a31890 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69bc6e208190b0c01e3761c04799 |
completed | April 1, 2026, 12:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0e7f090819093c7af51c3979978 |
completed | April 3, 2026, 2:38 p.m. |
| NEDg | Description generation | batch_69cfd17e5850819087fbb60fdc612fd9 |
completed | April 3, 2026, 2:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfd215204c8190886cc071f100aab6 |
completed | April 3, 2026, 2:43 p.m. |
Created at: March 30, 2026, 7:05 p.m.