Triple
T19762160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ice Peak |
E474655
|
entity |
| Predicate | hasOriginalName |
P65
|
FINISHED |
| Object | Kazbek |
—
|
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: Kazbek | Statement: [Ice Peak, hasOriginalName, Kazbek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kazbek Context triple: [Ice Peak, hasOriginalName, Kazbek]
-
A.
Mount Kazbek
chosen
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.
-
B.
Mount Aragats
Mount Aragats is a prominent dormant stratovolcano in Armenia and the country’s highest peak, known for its four summits and panoramic views over the surrounding highlands.
-
C.
Kopet Dagh
Kopet Dagh is a mountain range in Central Asia forming part of the natural border between Turkmenistan and Iran.
-
D.
Dykh-Tau
Dykh-Tau is one of the highest and most prominent mountains in the Caucasus range, located on the border of Russia and Georgia.
-
E.
Mount Elbrus
Mount Elbrus is a dormant stratovolcano in the Caucasus Mountains of Russia and the highest peak on the European continent.
- 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6532004d08190944234d35e74085b |
completed | April 20, 2026, 4:24 p.m. |
Created at: April 10, 2026, 1:48 p.m.