Triple
T15776442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tashkent Region |
E382503
|
entity |
| Predicate | administrativeCenter |
P1474
|
FINISHED |
| Object | Nurafshon |
E1174618
|
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: Nurafshon | Statement: [Tashkent Region, administrativeCenter, Nurafshon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nurafshon Context triple: [Tashkent Region, administrativeCenter, Nurafshon]
-
A.
Nurafshon
chosen
Nurafshon is a city in eastern Uzbekistan that serves as the administrative center of Tashkent Region.
-
B.
Zarafshan
Zarafshan is a city in central Uzbekistan known for its mining industry and location near the Kyzylkum Desert.
-
C.
Khashuri
Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
-
D.
Sarafand
Sarafand is a coastal village in southern Lebanon, traditionally identified as the modern site of the ancient Phoenician city of Zarephath.
-
E.
Nowshakh
Nowshakh is a prominent mountain peak in the Hindu Kush range, located on the border between Afghanistan and Pakistan.
- 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05199cd8881909462462cec34d35a |
completed | April 16, 2026, 3:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff909b467c819097ee87f51d2001da |
completed | May 9, 2026, 7:52 p.m. |
Created at: April 10, 2026, 4:47 a.m.