Triple
T17313229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shumerlya |
E420352
|
entity |
| Predicate | languageUsed |
P238
|
FINISHED |
| Object | Chuvash |
—
|
NE ONNED1 |
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: [Shumerlya, languageUsed, Chuvash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chuvash Context triple: [Shumerlya, languageUsed, 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.
Mordva
Mordva is the collective name for the Mordvin people, a Finno-Ugric ethnic group indigenous to the Volga region of Russia with distinct Erzya and Moksha subgroups.
-
C.
Udmurts
The Udmurts are a Finno-Ugric ethnic group native to the Volga-Ural region of Russia, known for their distinct Udmurt language, folklore, and traditional rural culture.
-
D.
Lezghinka
Lezghinka is a fast-paced, energetic traditional folk dance of the peoples of the North Caucasus, often featuring sharp footwork and expressive, dramatic movements.
-
E.
Vainakh
Vainakh refers to the closely related Chechen and Ingush peoples of the North Caucasus, sharing a common language group, culture, and historical heritage.
- 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_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4399a4194819091d34cd3fffc8072 |
completed | April 19, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01954cfd048190b201c5e457c2a4a2 |
in_progress | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 5:43 a.m.