Triple
T10327106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kokand |
E242787
|
entity |
| Predicate | country |
P26
|
FINISHED |
| Object | Uzbekistan |
E16489
|
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: Uzbekistan | Statement: [Kokand, country, Uzbekistan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uzbekistan Context triple: [Kokand, country, Uzbekistan]
-
A.
Uzbekistan
chosen
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.
-
B.
Tajikistan
Tajikistan is a landlocked, mountainous country in Central Asia known for its rugged Pamir range and as a former Soviet republic with an economy centered on agriculture, hydropower, and remittances.
-
C.
Turkmenistan
Turkmenistan is a landlocked Central Asian country rich in natural gas resources, known for its desert landscapes, authoritarian political system, and capital city Ashgabat.
-
D.
Takestan
Takestan is a city in northwestern Iran known as an important agricultural and viticultural center within Qazvin Province.
-
E.
Özbek
Özbek is a Turkish surname borne by various individuals, including figures in business, sports, and public life.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7ce69b881909f27d97c90643634 |
completed | April 7, 2026, 10:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dc02ddc481908ab0ea2d1da04dc3 |
completed | April 10, 2026, 11:16 a.m. |
Created at: April 6, 2026, 11:51 a.m.