Triple
T2560464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rissala Air Base |
E57229
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Siilinjärvi
Siilinjärvi is a municipality in Eastern Finland known for hosting Rissala Air Base and being part of the Kuopio region.
|
E278131
|
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: Siilinjärvi | Statement: [Rissala Air Base, locatedIn, Siilinjärvi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siilinjärvi Context triple: [Rissala Air Base, locatedIn, Siilinjärvi]
-
A.
Siilasvuo
Siilasvuo is a Finnish surname most notably associated with Hjalmar Siilasvuo, a prominent Finnish general during World War II.
-
B.
Luumäki
Luumäki is a rural municipality in South Karelia, southeastern Finland, known for its forests, lakes, and historical significance.
-
C.
Suonenjoki
Suonenjoki is a small town and municipality in the Northern Savonia region of Finland, known for its rural landscapes and berry cultivation.
-
D.
Tarvasjoki
Tarvasjoki is a small former municipality in southwestern Finland known for its rural landscape and proximity to the city of Turku.
-
E.
Hyrynsalmi
Hyrynsalmi is a small municipality in the Kainuu region of eastern Finland, known for its forested landscapes, lakes, and outdoor recreation opportunities.
- 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: Siilinjärvi Triple: [Rissala Air Base, locatedIn, Siilinjärvi]
Generated description
Siilinjärvi is a municipality in Eastern Finland known for hosting Rissala Air Base and being part of the Kuopio region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Siilinjärvi Target entity description: Siilinjärvi is a municipality in Eastern Finland known for hosting Rissala Air Base and being part of the Kuopio region.
-
A.
Siilasvuo
Siilasvuo is a Finnish surname most notably associated with Hjalmar Siilasvuo, a prominent Finnish general during World War II.
-
B.
Luumäki
Luumäki is a rural municipality in South Karelia, southeastern Finland, known for its forests, lakes, and historical significance.
-
C.
Suonenjoki
Suonenjoki is a small town and municipality in the Northern Savonia region of Finland, known for its rural landscapes and berry cultivation.
-
D.
Tarvasjoki
Tarvasjoki is a small former municipality in southwestern Finland known for its rural landscape and proximity to the city of Turku.
-
E.
Hyrynsalmi
Hyrynsalmi is a small municipality in the Kainuu region of eastern Finland, known for its forested landscapes, lakes, and outdoor recreation opportunities.
- 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_69ab4a4ef9008190a0e6d4422b9418b7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd334b69481908a6f2c0b41550ce9 |
completed | March 7, 2026, 7:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af5d233dbc81909feb1127cffb027f |
completed | March 9, 2026, 11:52 p.m. |
| NEDg | Description generation | batch_69af60e78b488190bdd01ee77ed3648b |
completed | March 10, 2026, 12:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af614ad2408190955c430cb7a7e302 |
completed | March 10, 2026, 12:09 a.m. |
Created at: March 6, 2026, 9:48 p.m.