Triple
T8591906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sauvo |
E203446
|
entity |
| Predicate | hasNeighbor |
P5707
|
FINISHED |
| Object | Paimio |
E235794
|
NE FINISHED |
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: Paimio | Statement: [Sauvo, hasNeighbor, Paimio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paimio Context triple: [Sauvo, hasNeighbor, Paimio]
-
A.
Paimio
chosen
Paimio is a small Finnish town best known for the modernist Paimio Sanatorium designed by architect Alvar Aalto.
-
B.
Imatra
Imatra is a town and municipality in southeastern Finland known for its industrial history, proximity to the Russian border, and the Imatrankoski rapids.
-
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.
Sotkamo
Sotkamo is a municipality in eastern Finland known for its mining industry, outdoor recreation, and the popular Vuokatti ski and sports resort area.
-
E.
Riihimäki
Riihimäki is a Finnish town known as a regional railway hub and industrial center located north of Helsinki.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca832a7f108190b4e4f5648abf4aa2 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc466747b88190b752f78f361140cb |
completed | March 31, 2026, 10:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdb759f6c819085939e38e0281361 |
completed | April 3, 2026, 3:23 p.m. |
Created at: March 30, 2026, 6:23 p.m.