Triple
T17569725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheberghan |
E427903
|
entity |
| Predicate | primaryLanguage |
P238
|
FINISHED |
| Object | Uzbek |
—
|
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: Uzbek | Statement: [Sheberghan, primaryLanguage, Uzbek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uzbek Context triple: [Sheberghan, primaryLanguage, Uzbek]
-
A.
Uzbek
chosen
Uzbek refers to a Turkic ethnic group primarily associated with Uzbekistan and surrounding regions of Central Asia, known for their distinct language, culture, and historical heritage.
-
B.
Qipchaq Uzbek
Qipchaq Uzbek is a variety of the Uzbek language that reflects strong Kipchak Turkic linguistic features, distinguishing it from the more widely known Oghuz-influenced standard Uzbek.
-
C.
Oghuz Uzbek
Oghuz Uzbek refers to a historical Turkic group associated with the Oghuz branch that played a key role in the ethnogenesis of the Uzbek people.
-
D.
Tajik language
The Tajik language is a variety of Persian spoken primarily in Tajikistan and written in the Cyrillic script.
-
E.
Uzbeks
Uzbeks are a Turkic ethnic group of Central Asia, primarily associated with Uzbekistan but also forming significant communities in neighboring countries such as Afghanistan.
- 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4592fe8408190bd8fed1920ab3601 |
completed | April 19, 2026, 4:25 a.m. |
Created at: April 10, 2026, 5:50 a.m.