Triple
T2274858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Almaty |
E50745
|
entity |
| Predicate | hasTwinCity |
P1072
|
FINISHED |
| Object | Tashkent |
E81695
|
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: Tashkent | Statement: [Almaty, hasTwinCity, Tashkent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tashkent Context triple: [Almaty, hasTwinCity, Tashkent]
-
A.
Tashkent
chosen
Tashkent is the capital and largest city of Uzbekistan, a major cultural and economic hub in Central Asia with deep historical ties to the Islamic world.
-
B.
Nukus
Nukus is the capital of the autonomous Republic of Karakalpakstan in western Uzbekistan, known for its remote desert location and the renowned Nukus Museum of Art.
-
C.
Navoi
Navoi is an industrial city in central Uzbekistan known for its mining, metallurgy, and chemical industries.
-
D.
Bishkek
Bishkek is the largest city and political, economic, and cultural center of Kyrgyzstan, located in the north of the country near the Kyrgyz Ala-Too mountain range.
-
E.
Andijan
Andijan is a historic city in eastern Uzbekistan, known as a major cultural and economic center of the Fergana Valley and as the birthplace of the Mughal emperor Babur.
- 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_69a88b05910c8190a9a2b1ff230c85f9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc1ebaa148190851952567878b3a1 |
completed | March 7, 2026, 6:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af17695e6481908bb7e4848a5ffc09 |
completed | March 9, 2026, 6:54 p.m. |
Created at: March 4, 2026, 7:48 p.m.