Triple
T19582443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harku rural municipality |
E490028
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Vääna-Jõesuu |
—
|
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: Vääna-Jõesuu | Statement: [Harku rural municipality, hasSettlement, Vääna-Jõesuu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vääna-Jõesuu Context triple: [Harku rural municipality, hasSettlement, Vääna-Jõesuu]
-
A.
Vääna-Jõesuu
chosen
Vääna-Jõesuu is a coastal village in northern Estonia known for its sandy beach and location at the mouth of the Vääna River.
-
B.
Vääna
Vääna is a village in northern Estonia known for its historic manor and coastal location near the capital, Tallinn.
-
C.
Vesanto
Vesanto is a small rural municipality in eastern Finland known for its lakes, forests, and traditional Finnish countryside.
-
D.
Jõgõperä
Jõgõperä is a traditional village area historically inhabited by speakers of the Votic language in Ingria.
-
E.
Kauhava
Kauhava is a town in western Finland known historically for its aviation activities and air base, as well as its traditional knife-making heritage.
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6404e18f88190b7fec59499dd25e8 |
completed | April 20, 2026, 3:03 p.m. |
Created at: April 10, 2026, 1:42 p.m.