Triple
T13253789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nurmijärvi |
E315603
|
entity |
| Predicate | hasLake |
P1025
|
FINISHED |
| Object |
Sääksjärvi
Sääksjärvi is a lake in the municipality of Nurmijärvi in southern Finland, known for its recreational beaches and natural surroundings.
|
E1032439
|
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: Sääksjärvi | Statement: [Nurmijärvi, hasLake, Sääksjärvi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sääksjärvi Context triple: [Nurmijärvi, hasLake, Sääksjärvi]
-
A.
Lapinjärvi
Lapinjärvi is a small rural municipality in southern Finland, located within the Greater Helsinki region.
-
B.
Kemijärvi
Kemijärvi is a town and municipality in Finnish Lapland known for its surrounding lakes, forests, and position as a northern gateway to outdoor and winter sports activities.
-
C.
Rautjärvi
Rautjärvi is a municipality in South Karelia, southeastern Finland, known for its rural landscapes, lakes, and proximity to the Russian border.
-
D.
Kivijärvi
Kivijärvi is a small rural municipality in Central Finland known for its lakes, forests, and outdoor recreation opportunities.
-
E.
Jalasjärvi
Jalasjärvi is a former municipality in western Finland, known for its rural landscapes and location along major transport routes.
- 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: Sääksjärvi Triple: [Nurmijärvi, hasLake, Sääksjärvi]
Generated description
Sääksjärvi is a lake in the municipality of Nurmijärvi in southern Finland, known for its recreational beaches and natural surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sääksjärvi Target entity description: Sääksjärvi is a lake in the municipality of Nurmijärvi in southern Finland, known for its recreational beaches and natural surroundings.
-
A.
Lapinjärvi
Lapinjärvi is a small rural municipality in southern Finland, located within the Greater Helsinki region.
-
B.
Kemijärvi
Kemijärvi is a town and municipality in Finnish Lapland known for its surrounding lakes, forests, and position as a northern gateway to outdoor and winter sports activities.
-
C.
Rautjärvi
Rautjärvi is a municipality in South Karelia, southeastern Finland, known for its rural landscapes, lakes, and proximity to the Russian border.
-
D.
Kivijärvi
Kivijärvi is a small rural municipality in Central Finland known for its lakes, forests, and outdoor recreation opportunities.
-
E.
Jalasjärvi
Jalasjärvi is a former municipality in western Finland, known for its rural landscapes and location along major transport routes.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98f7517048190b4eac4e44e81ff66 |
completed | April 11, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716c90c5c8190a6de94b92db12210 |
completed | May 3, 2026, 9:35 a.m. |
| NEDg | Description generation | batch_69f7177e07508190b46e6a12f09e7986 |
completed | May 3, 2026, 9:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f717e72b988190927b628022bcbf12 |
completed | May 3, 2026, 9:39 a.m. |
Created at: April 9, 2026, 9:24 p.m.