Triple
T3703384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dashoguz |
E80833
|
entity |
| Predicate | currencyUsed |
P188
|
FINISHED |
| Object | Turkmen manat |
E78718
|
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: Turkmen manat | Statement: [Dashoguz, currencyUsed, Turkmen manat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Turkmen manat Context triple: [Dashoguz, currencyUsed, Turkmen manat]
-
A.
Turkmenistan manat
chosen
The Turkmenistan manat is the official national currency of Turkmenistan, used for all domestic financial transactions and issued by the country's central bank.
-
B.
Azerbaijani manat
The Azerbaijani manat is the official fiat currency of Azerbaijan, used for everyday transactions and issued by the Central Bank of Azerbaijan.
-
C.
Kazakhstani tenge
The Kazakhstani tenge is the official currency of Kazakhstan, introduced after the country gained independence from the Soviet Union.
-
D.
Kyrgyzstani som
The Kyrgyzstani som is the official national currency of Kyrgyzstan, issued by the country's central bank and used for all major financial transactions.
-
E.
Turkish lira
The Turkish lira is the official currency of Turkey, used for everyday transactions, banking, and pricing throughout the country.
- 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_69ad8b1793888190a5f70e4b21dc05a1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc54aaac88190b775dba2513b6d4a |
completed | March 8, 2026, 6:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4cdf822348190bf95f7d119c6265a |
completed | March 14, 2026, 2:54 a.m. |
Created at: March 8, 2026, 3:33 p.m.