Triple
T21984927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gora Belukha |
E542932
|
entity |
| Predicate | hasSummit |
P8024
|
FINISHED |
| Object | West 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: West Belukha | Statement: [Gora Belukha, hasSummit, West Belukha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: West Belukha Context triple: [Gora Belukha, hasSummit, West 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.
Belukha Mountain
Belukha Mountain is a prominent, glaciated peak in the Altai range of Siberia, renowned for its dramatic alpine scenery and significance in Russian mountaineering.
-
C.
Mount Taimyr
Mount Taimyr is the highest peak of the remote Byrranga mountain range on Russia’s Arctic Taimyr Peninsula.
-
D.
Toktogul
Toktogul is a town in central Kyrgyzstan known for its proximity to the Toktogul Reservoir and its role in regional hydropower and agriculture.
-
E.
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.
- 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.