Triple
T18322702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Shkhara |
E438923
|
entity |
| Predicate | higherOnlyThan |
P13790
|
FINISHED |
| Object | Dykh-Tau |
—
|
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: Dykh-Tau | Statement: [Mount Shkhara, higherOnlyThan, Dykh-Tau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dykh-Tau Context triple: [Mount Shkhara, higherOnlyThan, Dykh-Tau]
-
A.
Dykh-Tau
chosen
Dykh-Tau is one of the highest and most prominent mountains in the Caucasus range, located on the border of Russia and Georgia.
-
B.
Kopet Dagh
Kopet Dagh is a mountain range in Central Asia forming part of the natural border between Turkmenistan and Iran.
-
C.
Dinara mountain
Dinara mountain is a prominent peak on the border of Croatia and Bosnia and Herzegovina, known as the highest mountain in Croatia and a key part of the rugged Dinaric mountain system.
-
D.
Radan Mountain
Radan Mountain is a forested mountain massif in southern Serbia known for its natural landscapes, historical sites, and traditional rural settlements.
-
E.
Kaçkar Dağı
Kaçkar Dağı is a prominent peak in northeastern Turkey renowned for its rugged alpine landscapes, glacial lakes, and popularity among hikers and mountaineers.
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50aa886508190902ffc26b30731ae |
completed | April 19, 2026, 5:02 p.m. |
Created at: April 10, 2026, 10:36 a.m.