Triple
T5180033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Notodden |
E116895
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object |
Äänekoski
Äänekoski is a Finnish town in Central Finland known for its forest industry, lakeside landscapes, and role as a regional industrial and logistics hub.
|
E526847
|
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: Äänekoski | Statement: [Notodden, hasTwinTown, Äänekoski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Äänekoski Context triple: [Notodden, hasTwinTown, Äänekoski]
-
A.
Kuokkala
Kuokkala is a residential district of the city of Jyväskylä in central Finland, known for its lakeside location and distinctive bridge connection to the city center.
-
B.
Kokkola
Kokkola is a coastal city in western Finland known for its maritime heritage and role as a military and naval hub.
-
C.
Lappeenranta
Lappeenranta is a city in southeastern Finland near the Russian border, known for its lakeside location on Saimaa and its role as a regional commercial and educational center.
-
D.
Uusikaupunki
Uusikaupunki is a coastal town and municipality in southwestern Finland known for its maritime heritage and automotive industry.
-
E.
Lahti
Lahti is a city in southern Finland known for its winter sports facilities, particularly ski jumping and cross-country skiing, and for hosting numerous international sporting events.
- 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: Äänekoski Triple: [Notodden, hasTwinTown, Äänekoski]
Generated description
Äänekoski is a Finnish town in Central Finland known for its forest industry, lakeside landscapes, and role as a regional industrial and logistics hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Äänekoski Target entity description: Äänekoski is a Finnish town in Central Finland known for its forest industry, lakeside landscapes, and role as a regional industrial and logistics hub.
-
A.
Kuokkala
Kuokkala is a residential district of the city of Jyväskylä in central Finland, known for its lakeside location and distinctive bridge connection to the city center.
-
B.
Kokkola
Kokkola is a coastal city in western Finland known for its maritime heritage and role as a military and naval hub.
-
C.
Lappeenranta
Lappeenranta is a city in southeastern Finland near the Russian border, known for its lakeside location on Saimaa and its role as a regional commercial and educational center.
-
D.
Uusikaupunki
Uusikaupunki is a coastal town and municipality in southwestern Finland known for its maritime heritage and automotive industry.
-
E.
Lahti
Lahti is a city in southern Finland known for its winter sports facilities, particularly ski jumping and cross-country skiing, and for hosting numerous international sporting events.
- 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_69bd446140f08190becb93c61158f27f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd799a322c8190b8a590cfe70761f5 |
completed | March 20, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfcb96c56c8190908d5aacd5afc88e |
completed | March 22, 2026, 10:59 a.m. |
| NEDg | Description generation | batch_69bfcc0571c48190a1b9343f09b59a43 |
completed | March 22, 2026, 11:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bfcc5076c4819088f0dd3f75022860 |
completed | March 22, 2026, 11:02 a.m. |
Created at: March 20, 2026, 1:45 p.m.