Triple
T21766249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parikkala |
E537300
|
entity |
| Predicate | hasBorder |
P224
|
FINISHED |
| Object | Rautjärvi |
—
|
NE NERFINISHED |
How this triple was built (2 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: Rautjärvi | Statement: [Parikkala, hasBorder, Rautjärvi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rautjärvi Context triple: [Parikkala, hasBorder, Rautjärvi]
-
A.
Rautjärvi
chosen
Rautjärvi is a municipality in South Karelia, southeastern Finland, known for its rural landscapes, lakes, and proximity to the Russian border.
-
B.
Ristijärvi
Ristijärvi is a small rural municipality in the Kainuu region of eastern Finland, known for its forests, lakes, and outdoor recreation opportunities.
-
C.
Lapinjärvi
Lapinjärvi is a small rural municipality in southern Finland, located within the Greater Helsinki region.
-
D.
Reisjärvi
Reisjärvi is a small rural municipality in western Finland known for its lakes, forests, and traditional Finnish countryside character.
-
E.
Kauhajoki
Kauhajoki is a town and municipality in western Finland known for its rural landscapes, agriculture, and small industrial base.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46f5d1c8190bf830409e98464e5 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f031aa9c888190887c5c1d1e3bab9f |
completed | April 28, 2026, 4:03 a.m. |
Created at: April 16, 2026, 6:51 p.m.