Triple
T4935535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Namangan |
E110802
|
entity |
| Predicate | capitalOf |
P204
|
FINISHED |
| Object | Namangan Region |
E110802
|
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: Namangan Region | Statement: [Namangan, capitalOf, Namangan Region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Namangan Region Context triple: [Namangan, capitalOf, Namangan Region]
-
A.
Andijan Region
Andijan Region is an administrative region in eastern Uzbekistan known for its dense population, fertile Fergana Valley agriculture, and the city of Andijan as its capital.
-
B.
Namangan
chosen
Namangan is a major city in eastern Uzbekistan, known as an important cultural and economic center in the Fergana Valley.
-
C.
Jalal-Abad Region
Jalal-Abad Region is an administrative region in western Kyrgyzstan known for its mountainous landscapes, river valleys, and significant agricultural and hydropower resources.
-
D.
Daşoguz Region
Daşoguz Region is an administrative region in northern Turkmenistan known for its desert landscapes and proximity to the historical Khorezm area.
-
E.
Atyrau Region
Atyrau Region is a western Kazakhstani administrative area located along the northern Caspian Sea, known for its oil and gas industry and low-lying Caspian Depression landscapes.
- 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_69bd4415eee08190bdce70276e56a5b4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd706825188190b854dca5ca2f9db6 |
completed | March 20, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be77b74c748190a995a26f45b79ee9 |
completed | March 21, 2026, 10:49 a.m. |
Created at: March 20, 2026, 1:30 p.m.