Triple
T18672540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caucasus region |
E456515
|
entity |
| Predicate | highestPoint |
P210
|
FINISHED |
| Object | Mount Elbrus |
—
|
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 Elbrus | Statement: [Caucasus region, highestPoint, Mount Elbrus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Elbrus Context triple: [Caucasus region, highestPoint, Mount Elbrus]
-
A.
Mount Elbrus
chosen
Mount Elbrus is a dormant stratovolcano in the Caucasus Mountains of Russia and the highest peak on the European continent.
-
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 Kazbek
Mount Kazbek is a prominent dormant stratovolcano in the Greater Caucasus range of Georgia, renowned for its dramatic glaciated peak and cultural significance in Georgian folklore and history.
-
D.
Mount Narodnaya
Mount Narodnaya is a prominent peak in Russia known as the tallest mountain in the Ural range, marking the natural boundary between Europe and Asia.
-
E.
Semenov-Tian-Shansky Peak
Semenov-Tian-Shansky Peak is a prominent high mountain summit in the Kyrgyz Ala-Too range of the northern Tien Shan in Kyrgyzstan.
- 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_69d8d38f72b4819090a935175d9ca8af |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e556b34fd881909f1b049a325d8826 |
completed | April 19, 2026, 10:26 p.m. |
Created at: April 10, 2026, 11:48 a.m.