Triple
T20231070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linnansaari National Park |
E495524
|
entity |
| Predicate | nearestMunicipality |
P34698
|
FINISHED |
| Object | Rantasalmi |
—
|
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: Rantasalmi | Statement: [Linnansaari National Park, nearestMunicipality, Rantasalmi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rantasalmi Context triple: [Linnansaari National Park, nearestMunicipality, Rantasalmi]
-
A.
Rantasalmi
chosen
Rantasalmi is a rural municipality in the Southern Savonia region of eastern Finland, known for its lakeside landscapes and traditional Finnish countryside.
-
B.
Kankaanpää
Kankaanpää is a small town and municipality in the Satakunta region of western Finland, known for its surrounding forests and lakes.
-
C.
Pirkkala
Pirkkala is a municipality in the Pirkanmaa region of southern Finland, located near the city of Tampere and known for its growing residential areas and proximity to Tampere-Pirkkala Airport.
-
D.
Hankasalmi
Hankasalmi is a rural municipality in Central Finland known for its lakes, forests, and outdoor recreational opportunities.
-
E.
Kuokkala
Kuokkala is a former Finnish locality on the Karelian Isthmus, now known as Repino in Saint Petersburg, Russia.
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66fdce9d081909752a6a1e15283ba |
completed | April 20, 2026, 6:26 p.m. |
Created at: April 11, 2026, 11:39 p.m.