Triple
T9274604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Estonia |
E222913
|
entity |
| Predicate | hasRegion |
P285
|
FINISHED |
| Object | Põlva County |
E367592
|
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: Põlva County | Statement: [Southern Estonia, hasRegion, Põlva County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Põlva County Context triple: [Southern Estonia, hasRegion, Põlva County]
-
A.
Põlva County
chosen
Põlva County is a rural administrative region in southeastern Estonia known for its forests, lakes, and strong South Estonian cultural and linguistic heritage.
-
B.
Jõgeva County
Jõgeva County is an administrative region in eastern Estonia known for its agricultural landscapes, small towns, and cold winter temperatures.
-
C.
Viljandi County
Viljandi County is a rural administrative region in southern Estonia known for its lakes, forests, and historic town of Viljandi.
-
D.
Valga County
Valga County is a rural administrative region in southern Estonia known for its forests, lakes, and the twin town of Valga–Valka on the Estonian-Latvian border.
-
E.
Harju County
Harju County is a northern Estonian county on the Gulf of Finland that includes the nation’s capital, Tallinn, and serves as its main political and economic hub.
- 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_69ca841ffe208190aa7bcffbef2f8379 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd078a045c8190b2c4d1ec64b932ad |
completed | April 1, 2026, 11:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e379a26c8190be2134fcec120f8e |
completed | April 4, 2026, 10:10 a.m. |
Created at: March 30, 2026, 7:33 p.m.