Triple
T18737565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azimuth Airlines |
E458204
|
entity |
| Predicate | focusCity |
P164
|
FINISHED |
| Object | Mineralnye Vody |
—
|
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: Mineralnye Vody | Statement: [Azimuth Airlines, focusCity, Mineralnye Vody]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mineralnye Vody Context triple: [Azimuth Airlines, focusCity, Mineralnye Vody]
-
A.
Mineralnye Vody
chosen
Mineralnye Vody is a town in Russia’s Stavropol Krai known as a key transport hub in the North Caucasus, particularly for its railway and airport connections.
-
B.
Kislovodsk
Kislovodsk is a Russian spa and resort city in the North Caucasus, renowned for its mineral springs and mountainous surroundings.
-
C.
Borjomi
Borjomi is a Georgian resort town famous for its mineral water springs and scenic location in the Borjomi Gorge.
-
D.
Soligorsk
Soligorsk is an industrial city in Belarus known for its large potash mining operations and location in the southern part of the Minsk Region.
-
E.
Torzhok
Torzhok is a historic town in western Russia known for its medieval architecture, traditional goldwork embroidery, and location on the Tvertsa River.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5768b80ac8190bc05628d64f86fc9 |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 10, 2026, 11:51 a.m.