Triple
T15816484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daşoguz Region |
E383491
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Daşoguz |
E80833
|
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: Daşoguz | Statement: [Daşoguz Region, capital, Daşoguz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daşoguz Context triple: [Daşoguz Region, capital, Daşoguz]
-
A.
Dashoguz
chosen
Dashoguz is a prominent city in northern Turkmenistan, serving as a regional administrative and economic center near the border with Uzbekistan.
-
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.
Khachmaz
Khachmaz is a town in northeastern Azerbaijan known as a regional center near the Caspian Sea and the Russian border.
-
D.
Garabogaz
Garabogaz is a small city in western Turkmenistan, located near the Garabogazköl lagoon on the Caspian Sea.
-
E.
Shamkir
Shamkir is a town in western Azerbaijan known as a regional center with historical significance and a growing agricultural and industrial economy.
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0c4a306a48190840adc49df2c26c5 |
completed | April 16, 2026, 11:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3b717c88190b974a44470136ff2 |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:49 a.m.