Triple
T17700875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rudaki Park |
E441295
|
entity |
| Predicate | locatedInAdministrativeTerritory |
P40
|
FINISHED |
| Object | Dushanbe city |
—
|
NE NERFINISHED |
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: Dushanbe city | Statement: [Rudaki Park, locatedInAdministrativeTerritory, Dushanbe city]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dushanbe city Context triple: [Rudaki Park, locatedInAdministrativeTerritory, Dushanbe city]
-
A.
Dushanbe
chosen
Dushanbe is the largest city and political, economic, and cultural center of Tajikistan.
-
B.
Khorog
Khorog is a remote mountain town in eastern Tajikistan that serves as the capital of the Gorno-Badakhshan Autonomous Region and a key hub in the Pamir Mountains.
-
C.
Navoi
Navoi is an industrial city in central Uzbekistan known for its mining, metallurgy, and chemical industries.
-
D.
Khujand
Khujand is one of the oldest cities in Central Asia, a major urban center in northern Tajikistan known historically as a Silk Road hub on the Syr Darya River.
-
E.
Tashkurgan
Tashkurgan is a remote town in China’s Xinjiang region, inhabited mainly by Tajik people and known as a key stop on the Karakoram Highway near the Pakistan border.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4715ae1fc81908438a1bba970c6ec |
completed | April 19, 2026, 6:08 a.m. |
Created at: April 10, 2026, 10:04 a.m.