Triple
T22228961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katun Range |
E549417
|
entity |
| Predicate | highestPoint |
P210
|
FINISHED |
| Object | Mount 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: Mount Belukha | Statement: [Katun Range, highestPoint, Mount Belukha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Belukha Context triple: [Katun Range, highestPoint, Mount Belukha]
-
A.
Belukha Mountain
chosen
Belukha Mountain is a prominent, glaciated peak in the Altai range of Siberia, renowned for its dramatic alpine scenery and significance in Russian mountaineering.
-
B.
Mount Taimyr
Mount Taimyr is the highest peak of the remote Byrranga mountain range on Russia’s Arctic Taimyr Peninsula.
-
C.
Mount Nevskaya
Mount Nevskaya is the highest peak in Russia’s remote Kolyma Mountains, a rugged range in the far northeastern part of Siberia.
-
D.
Mount Kaputjugh
Mount Kaputjugh is a prominent peak in the South Caucasus region, known as the highest summit of the Zangezur mountain range on the border between Armenia and Azerbaijan.
-
E.
Mayakovsky Peak
Mayakovsky Peak is a prominent over-6,000-meter mountain in the Pamir range of Central Asia, known for its challenging climbing routes and remote, high-altitude environment.
- 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_69e11e403d6481909a94d0aaf157f6ef |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12bf173308190a3d21bfc59b39728 |
completed | April 28, 2026, 9:51 p.m. |
Created at: April 16, 2026, 8:37 p.m.