Triple
T19778818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tammerkoski rapids |
E475077
|
entity |
| Predicate | hasLanguageName |
P15
|
FINISHED |
| Object |
fi: Tammerkoski
Tammerkoski is a notable rapid and waterway running through the city of Tampere in Finland, historically important for its industrial development and scenic urban landscape.
|
E1394199
|
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: fi: Tammerkoski | Statement: [Tammerkoski rapids, hasLanguageName, fi: Tammerkoski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: fi: Tammerkoski Context triple: [Tammerkoski rapids, hasLanguageName, fi: Tammerkoski]
-
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.
Tammela
Tammela is a rural municipality in southern Finland known for its forests, lakes, and national parks such as Torronsuo and Liesjärvi.
-
D.
Kuusankoski
Kuusankoski is a town in southern Finland known historically for its paper industry and location along the Kymijoki River.
-
E.
Jämsänkoski
Jämsänkoski is a town in Central Finland known historically for its paper industry and scenic lakeside environment.
- 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: fi: Tammerkoski Triple: [Tammerkoski rapids, hasLanguageName, fi: Tammerkoski]
Generated description
Tammerkoski is a notable rapid and waterway running through the city of Tampere in Finland, historically important for its industrial development and scenic urban landscape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: fi: Tammerkoski Target entity description: Tammerkoski is a notable rapid and waterway running through the city of Tampere in Finland, historically important for its industrial development and scenic urban landscape.
-
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.
Tammela
Tammela is a rural municipality in southern Finland known for its forests, lakes, and national parks such as Torronsuo and Liesjärvi.
-
D.
Kuusankoski
Kuusankoski is a town in southern Finland known historically for its paper industry and location along the Kymijoki River.
-
E.
Jämsänkoski
Jämsänkoski is a town in Central Finland known historically for its paper industry and scenic lakeside environment.
- 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6538230488190b45cd8aaec658f7f |
completed | April 20, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07bd78ce00819097b4df2bff211b31 |
completed | May 16, 2026, 12:42 a.m. |
| NEDg | Description generation | batch_6a07be65daf88190a0ed2b6f8075141a |
completed | May 16, 2026, 12:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07bf1be9648190bac752e8a6ca12bc |
completed | May 16, 2026, 12:49 a.m. |
Created at: April 10, 2026, 1:49 p.m.