Triple
T15266971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belozersk |
E364924
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Lake Beloye |
E326308
|
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: Lake Beloye | Statement: [Belozersk, locatedOn, Lake Beloye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Beloye Context triple: [Belozersk, locatedOn, 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.
Komsomolskoye Lake
Komsomolskoye Lake is an artificial urban lake and recreational area in Minsk, Belarus, situated along the Svislach River.
-
C.
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.
-
D.
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.
-
E.
Karymskoye Lake
Karymskoye Lake is a small volcanic crater lake in Russia’s Kamchatka Peninsula, known for its location within the highly active Karymsky volcanic complex.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00851c5b88190a296b6a105d3ee30 |
completed | April 15, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee600340c8190a1888d35c2c1bc86 |
completed | May 9, 2026, 7:45 a.m. |
Created at: April 10, 2026, 3:14 a.m.