Triple
T2581798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volga region |
E57107
|
entity |
| Predicate | hasEthnicGroup |
P1898
|
FINISHED |
| Object | Chuvash |
E75717
|
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: Chuvash | Statement: [Volga region, hasEthnicGroup, Chuvash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chuvash Context triple: [Volga region, hasEthnicGroup, Chuvash]
-
A.
Chuvash
chosen
Chuvash are a Turkic ethnic group native to the Volga region of Russia, known for their distinct Chuvash language and culture.
-
B.
Bashkir
Bashkir is a Turkic language spoken primarily by the Bashkir people in Russia’s Republic of Bashkortostan and surrounding regions.
-
C.
Kalmyk
Kalmyk refers to a Mongolic ethnic group primarily living in Russia’s Kalmykia region, known for being the only traditionally Buddhist people in Europe.
-
D.
Karachay-Balkar
Karachay-Balkar is a Turkic language spoken primarily by the Karachay and Balkar peoples in the North Caucasus region of Russia.
-
E.
Kumyk
Kumyk is a Turkic language traditionally spoken by the Kumyk people in the North Caucasus region, particularly in present-day Dagestan, Russia.
- 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_69ab4a4dca6481908c301f8e317396e7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3c843bc8190837cea3441bf3ca1 |
completed | March 7, 2026, 7:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af657cc2b08190a9055d6da7744851 |
completed | March 10, 2026, 12:27 a.m. |
Created at: March 6, 2026, 9:49 p.m.