Triple
T9274613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Estonia |
E222913
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Põlva
Põlva is a small town in southeastern Estonia known as a local administrative and cultural center surrounded by lakes and forested landscapes.
|
E789704
|
NE FINISHED |
How this triple was built (4 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: [Southern Estonia, hasCity, Põlva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Põlva Context triple: [Southern Estonia, hasCity, Põlva]
-
A.
Pärnamäe
Pärnamäe is a village located in Viimsi Parish in northern Estonia, near the capital city Tallinn.
-
B.
Kuressaare
Kuressaare is the main town on Estonia’s Saaremaa island, known for its well-preserved medieval castle and seaside spa resort atmosphere.
-
C.
Pääsküla
Pääsküla is a subdistrict of the Nõmme district in Tallinn, Estonia, known for its residential areas and nearby natural landscapes.
-
D.
Viljandi
Viljandi is a historic town in southern Estonia known for its medieval castle ruins, rich cultural life, and annual folk music festival.
-
E.
Harjavalta
Harjavalta is a small industrial town and municipality in western Finland known for its metal and chemical industries along the Kokemäki River.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Põlva Triple: [Southern Estonia, hasCity, Põlva]
Generated description
Põlva is a small town in southeastern Estonia known as a local administrative and cultural center surrounded by lakes and forested landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Põlva Target entity description: Põlva is a small town in southeastern Estonia known as a local administrative and cultural center surrounded by lakes and forested landscapes.
-
A.
Pärnamäe
Pärnamäe is a village located in Viimsi Parish in northern Estonia, near the capital city Tallinn.
-
B.
Kuressaare
Kuressaare is the main town on Estonia’s Saaremaa island, known for its well-preserved medieval castle and seaside spa resort atmosphere.
-
C.
Pääsküla
Pääsküla is a subdistrict of the Nõmme district in Tallinn, Estonia, known for its residential areas and nearby natural landscapes.
-
D.
Viljandi
Viljandi is a historic town in southern Estonia known for its medieval castle ruins, rich cultural life, and annual folk music festival.
-
E.
Harjavalta
Harjavalta is a small industrial town and municipality in western Finland known for its metal and chemical industries along the Kokemäki River.
- F. None of above. chosen
Provenance (5 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_69d0b1f57db881908a42ad5b042d0872 |
completed | April 4, 2026, 6:38 a.m. |
| NEDg | Description generation | batch_69d0b3d0e4608190bc0e15c1fade41de |
completed | April 4, 2026, 6:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0b42d75908190b37bd194af43b89d |
completed | April 4, 2026, 6:48 a.m. |
Created at: March 30, 2026, 7:33 p.m.