Triple
T15546263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ufa |
E370617
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Belaya River |
—
|
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: Belaya River | Statement: [Ufa, locatedOnRiver, Belaya River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belaya River Context triple: [Ufa, locatedOnRiver, Belaya River]
-
A.
Belaya River
The Belaya River is a significant waterway in the North Caucasus region of Russia, known for flowing through the Republic of Adygea and contributing to the Kuban River basin.
-
B.
Belaya River
chosen
The Belaya River is a major waterway in Russia’s Ural region, known for its scenic valleys and role as an important tributary of the Kama River.
-
C.
Yaga River
The Yaga River is a mountain river in the Spanish Pyrenees that carves through the Escuaín Gorge within the Ordesa y Monte Perdido National Park.
-
D.
Snezhnaya River
The Snezhnaya River is a Siberian river in Russia that serves as one of the tributaries feeding into Lake Baikal.
-
E.
Vetluga River
The Vetluga River is a significant waterway in western Russia that flows through several regions before joining the Volga River.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04a9073948190b6e9cf504aacc7cf |
completed | April 16, 2026, 2:33 a.m. |
Created at: April 10, 2026, 4:07 a.m.