Triple
T10358738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ATA Airlines |
E244072
|
entity |
| Predicate | currencyOfOperation |
P71715
|
FINISHED |
| Object | Iranian rial |
E21294
|
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: Iranian rial | Statement: [ATA Airlines, currencyOfOperation, Iranian rial]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iranian rial Context triple: [ATA Airlines, currencyOfOperation, Iranian rial]
-
A.
Iranian rial
chosen
The Iranian rial is the official national currency of Iran, known for its high inflation and low international exchange value.
-
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.
Iraqi rupee
The Iraqi rupee was the former currency of Iraq during the period of British administration in the early 20th century, before being succeeded by the Iraqi dinar.
-
D.
Yemeni rial
The Yemeni rial is the official monetary unit of Yemen, used for everyday transactions and issued by the Central Bank of Yemen.
-
E.
Iraqi dinar
The Iraqi dinar is the official fiat currency of Iraq, issued by the Central Bank of Iraq and subdivided into 1,000 fils.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e95708c481909c8c8cb2a57bf6d6 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d79529208c81909b39e3ba937c541f |
completed | April 9, 2026, 12:01 p.m. |
Created at: April 6, 2026, 11:59 a.m.