Triple
T9461287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khujand |
E228149
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Sughd Region |
E800913
|
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: Sughd Region | Statement: [Khujand, locatedIn, Sughd Region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sughd Region Context triple: [Khujand, locatedIn, Sughd Region]
-
A.
Sughd Region
chosen
Sughd Region is a northern administrative region of Tajikistan known for its mountainous terrain, historical Silk Road cities, and diverse linguistic communities.
-
B.
Daşoguz Region
Daşoguz Region is an administrative region in northern Turkmenistan known for its desert landscapes and proximity to the historical Khorezm area.
-
C.
Fergana Region
Fergana Region is an administrative region in eastern Uzbekistan known for its fertile Fergana Valley, dense population, and significant agricultural and industrial output.
-
D.
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.
-
E.
Khorezm Region
Khorezm Region is an administrative region in northwestern Uzbekistan, historically part of the ancient Khwarezm civilization and centered around the city of Urgench.
- 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_69ca843b123881909b0e60028475d12d |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7fcc8b1881908aa6ee13ab195330 |
completed | April 1, 2026, 8:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d139e6cc888190a2175149c59bb138 |
completed | April 4, 2026, 4:18 p.m. |
Created at: March 30, 2026, 7:52 p.m.