Triple
T20095676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kasimov |
E496392
|
entity |
| Predicate | languageUsed |
P238
|
FINISHED |
| Object | Tatar |
—
|
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: Tatar | Statement: [Kasimov, languageUsed, Tatar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tatar Context triple: [Kasimov, languageUsed, Tatar]
-
A.
Tatar
Tatars are a Turkic ethnic group native to Russia and surrounding regions, known for their distinct language, culture, and historical role in the Volga and Crimean areas.
-
B.
Tatar language
chosen
The Tatar language is a Turkic language spoken primarily by Tatars in Russia and neighboring regions, with official status in Tatarstan and a literary tradition spanning several centuries.
-
C.
Bashkir
Bashkir is a Turkic language spoken primarily by the Bashkir people in Russia’s Republic of Bashkortostan and surrounding regions.
-
D.
Siberian Tatar language
The Siberian Tatar language is a Turkic language spoken by Siberian Tatars in western Siberia, characterized by features of the Kipchak branch and influences from neighboring Siberian peoples and Russian.
-
E.
Tatarbunary
Tatarbunary is a small town in the historical Budjak region of southwestern Ukraine, known for its agricultural surroundings and multiethnic local culture.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6666cc02481908780a415b19c05a2 |
completed | April 20, 2026, 5:46 p.m. |
Created at: April 11, 2026, 11:24 p.m.