Triple
T780674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uzbekistan |
E16489
|
entity |
| Predicate | demonym |
P191
|
FINISHED |
| Object | Uzbek |
E22619
|
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: Uzbek | Statement: [Uzbekistan, demonym, Uzbek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uzbek Context triple: [Uzbekistan, demonym, 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.
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.
-
C.
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.
-
D.
Tajiks
Tajiks are an Iranian ethnic group of Central Asia, primarily inhabiting Tajikistan and parts of Afghanistan and Uzbekistan, known for their Persian cultural and linguistic heritage.
-
E.
Uzbekistan
Uzbekistan is a landlocked Central Asian country known for its Silk Road heritage, including historic cities like Samarkand and Bukhara, and for being a major producer of cotton and natural gas.
- 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_69a4936ad1fc81908f190208059ccf78 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a751ea3481908a622d5255249883 |
completed | March 1, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a67efa8dd481909097c551bf3a61dc |
completed | March 3, 2026, 6:26 a.m. |
Created at: March 1, 2026, 7:37 p.m.