Triple
T15372865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Põlva County |
E367592
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Põlva |
E789704
|
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 | Statement: [Põlva County, capital, Põlva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Põlva Context triple: [Põlva County, capital, Põlva]
-
A.
Põlva
chosen
Põlva is a small town in southeastern Estonia known as a local administrative and cultural center surrounded by lakes and forested landscapes.
-
B.
Võru
Võru is a small town in southeastern Estonia known for its lakeside setting, traditional Võro culture, and role as a regional administrative and cultural center.
-
C.
Jõhvi
Jõhvi is a town in northeastern Estonia that serves as the administrative center of Ida-Viru County.
-
D.
Harju
Harju is a famous spectator-friendly city-stage in Jyväskylä that serves as one of the most iconic and crowd-drawing special stages of Rally Finland.
-
E.
Haapsalu
Haapsalu is a small seaside town in western Estonia known for its historic wooden architecture, medieval castle, and traditional seaside resort and spa culture.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e5c1d548190930bfaf0861595ae |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff364d82c48190b116528b5c00e918 |
completed | May 9, 2026, 1:27 p.m. |
Created at: April 10, 2026, 3:18 a.m.