Triple
T20259340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riga Planning Region |
E498788
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object | Saulkrasti town |
—
|
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: Saulkrasti town | Statement: [Riga Planning Region, containsMunicipality, Saulkrasti town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saulkrasti town Context triple: [Riga Planning Region, containsMunicipality, Saulkrasti town]
-
A.
Saulkrasti
chosen
Saulkrasti is a coastal town in northern Latvia known for its sandy Baltic Sea beaches and scenic sunsets.
-
B.
Balvi Municipality
Balvi Municipality is an administrative region in northeastern Latvia known for its rural landscapes and small towns centered around the town of Balvi.
-
C.
Lubmin
Lubmin is a seaside resort village on Germany’s Baltic Sea coast in Mecklenburg-Vorpommern, known for its beach, nearby nuclear power plant site, and energy infrastructure.
-
D.
Hedesunda
Hedesunda is a small locality in east-central Sweden known for its rural character and proximity to forests, lakes, and the Dalälven River.
-
E.
Kegums
Kegums is a town in central Latvia on the Daugava River, known for its major hydroelectric power plant and role in the country’s energy production.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e674c84e848190a6e8956698b84026 |
completed | April 20, 2026, 6:47 p.m. |
Created at: April 11, 2026, 11:41 p.m.