Triple
T2637848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volunteer Army |
E62790
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Kuban |
E57489
|
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: Kuban | Statement: [Volunteer Army, region, Kuban]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kuban Context triple: [Volunteer Army, region, Kuban]
-
A.
Kuban River
chosen
The Kuban River is a major river in the North Caucasus region of Russia that flows through the Krasnodar Krai before emptying into the Sea of Azov.
-
B.
Byk River
The Byk River is a tributary watercourse in Eastern Europe that flows through Moldova before joining the Dniester River.
-
C.
Voronezh River
The Voronezh River is a major river in western Russia that flows through the city of Voronezh before joining the Don River.
-
D.
Kazan River
The Kazan River is a major river in the Republic of Tatarstan, Russia, flowing through the city of Kazan before emptying into the Volga River.
-
E.
Sochi River
The Sochi River is a mountain river in Russia’s Krasnodar Krai that flows through the city of Sochi into the Black Sea.
- 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_69ab4c3f2dcc819082df80f5e032f690 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abd8e470ac8190bd0d6de6805afcd0 |
completed | March 7, 2026, 7:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afaf4648208190a837abe42115f8a1 |
completed | March 10, 2026, 5:42 a.m. |
Created at: March 6, 2026, 9:53 p.m.