Triple
T16169844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tartar |
E392404
|
entity |
| Predicate | currency |
P245
|
FINISHED |
| Object | Azerbaijani manat |
E145277
|
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: Azerbaijani manat | Statement: [Tartar, currency, Azerbaijani manat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Azerbaijani manat Context triple: [Tartar, currency, Azerbaijani manat]
-
A.
Azerbaijani manat
chosen
The Azerbaijani manat is the official fiat currency of Azerbaijan, used for everyday transactions and issued by the Central Bank of Azerbaijan.
-
B.
Armenian dram
The Armenian dram is the official national currency of Armenia, used for everyday transactions and issued by the Central Bank of Armenia.
-
C.
Turkmenistan manat
The Turkmenistan manat is the official national currency of Turkmenistan, used for all domestic financial transactions and issued by the country's central bank.
-
D.
Iranian rial
The Iranian rial is the official national currency of Iran, known for its high inflation and low international exchange value.
-
E.
Belarusian ruble
The Belarusian ruble is the official currency of Belarus, introduced after the country gained independence from the Soviet Union.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21eb6de30819083af54b50ae5ae51 |
completed | April 17, 2026, 11:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7bd87f08190a9f2a1524e5db2ba |
completed | May 10, 2026, 3:13 a.m. |
Created at: April 10, 2026, 5:02 a.m.