Triple
T4810889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Kazbek |
E107065
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Stepantsminda |
E112157
|
NE FINISHED |
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: Stepantsminda | Statement: [Mount Kazbek, near, Stepantsminda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stepantsminda Context triple: [Mount Kazbek, near, Stepantsminda]
-
A.
Stepantsminda
chosen
Stepantsminda is a small mountain town in northern Georgia, known as a gateway to the Greater Caucasus and the nearby Mount Kazbek.
-
B.
Dvin
Dvin was a major medieval Armenian city that served as a political, economic, and religious center and at times as the capital of Armenia.
-
C.
Mestia
Mestia is a highland town in northwestern Georgia, renowned as a cultural and tourist hub of the Svaneti region in the Caucasus Mountains.
-
D.
Vagharshapat
Vagharshapat is a historic Armenian city that serves as the spiritual center of the Armenian Apostolic Church and is home to several of the country’s most important religious and cultural monuments.
-
E.
Mingachevir
Mingachevir is a city in Azerbaijan known for its large hydroelectric power station and reservoir on the Kura River, making it a key energy and industrial center in the country.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd43f779448190b92885cb70abb6c2 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6c7b879081908e0c92a67422906e |
completed | March 20, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5ca8c29081909701bfd4ea60586d |
completed | March 21, 2026, 8:54 a.m. |
Created at: March 20, 2026, 1:23 p.m.