Triple
T21984928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gora Belukha |
E542932
|
entity |
| Predicate | hasSummit |
P8024
|
FINISHED |
| Object | East Belukha |
—
|
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: East Belukha | Statement: [Gora Belukha, hasSummit, East Belukha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: East Belukha Context triple: [Gora Belukha, hasSummit, East Belukha]
-
A.
East Belukha
chosen
East Belukha is one of the twin summits of Belukha Mountain in the Altai range, known for its glaciated slopes and challenging alpine climbing routes.
-
B.
Malaya Kokshaga
Malaya Kokshaga is a river in the Mari El Republic of Russia that flows through the city of Yoshkar-Ola and is a tributary of the Volga River.
-
C.
Daur
The Daur are a Mongolic ethnic group of northeastern China, traditionally living along the Heilongjiang (Amur) River and known for their distinct language, culture, and history as borderland farmers and hunters.
-
D.
Daur
Daur is a town in Pakistan’s Sindh province, known as a local commercial and agricultural center within the Nawabshah (Shaheed Benazirabad) District.
-
E.
Bulganin
Bulganin is the surname of Nikolai Bulganin, a prominent Soviet politician who served as Premier of the Soviet Union during the 1950s.
- 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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12708cdcc81909511d9f81bd8f20e |
completed | April 28, 2026, 9:30 p.m. |
Created at: April 16, 2026, 8:04 p.m.