Triple
T21381808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kovzha River |
E527376
|
entity |
| Predicate | flowsInto |
P408
|
FINISHED |
| Object | Lake Beloye |
—
|
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: Lake Beloye | Statement: [Kovzha River, flowsInto, Lake Beloye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Beloye Context triple: [Kovzha River, flowsInto, Lake Beloye]
-
A.
Lake Beloye
chosen
Lake Beloye is a large freshwater lake in northwestern Russia known for its role in regional waterways and its location within Vologda Oblast.
-
B.
Lake Kubenskoye
Lake Kubenskoye is a large freshwater lake in Vologda Oblast, Russia, known as an important part of the regional river system and a traditional route in the Russian North.
-
C.
Komsomolskoye Lake
Komsomolskoye Lake is an artificial urban lake and recreational area in Minsk, Belarus, situated along the Svislach River.
-
D.
Svityaz Lake
Svityaz Lake is the deepest and one of the largest natural lakes in Ukraine, renowned for its clear waters and location within the Shatsk National Nature Park.
-
E.
Lake Seliger
Lake Seliger is a large glacial lake in central Russia known for its scenic islands, pine forests, and popularity as a nature and recreation destination.
- 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_69e0b51f363c8190944000ab5523b02b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0cf89f08190bd7c0d552232d948 |
completed | April 22, 2026, 11:28 a.m. |
Created at: April 16, 2026, 5:12 p.m.