Triple
T432585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afghanistan |
E9744
|
entity |
| Predicate | currency |
P245
|
FINISHED |
| Object |
Afghan afghani
The Afghan afghani is the official fiat currency of Afghanistan, issued and regulated by the country's central bank.
|
E54475
|
NE FINISHED |
How this triple was built (4 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: Afghan afghani | Statement: [Afghanistan, currency, Afghan afghani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Afghan afghani Context triple: [Afghanistan, currency, Afghan afghani]
-
A.
Dirham
The dirham is a historical silver coin and monetary unit widely used in the Islamic world, originating as a standard currency under early Muslim caliphates.
-
B.
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.
-
C.
Iranian rial
The Iranian rial is the official national currency of Iran, known for its high inflation and low international exchange value.
-
D.
Algerian dinar
The Algerian dinar is the official monetary unit of Algeria, issued and regulated by the Bank of Algeria.
-
E.
Indonesian rupiah
The Indonesian rupiah is the official currency of Indonesia, known for experiencing severe devaluation during the late-1990s Asian financial crisis.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Afghan afghani Triple: [Afghanistan, currency, Afghan afghani]
Generated description
The Afghan afghani is the official fiat currency of Afghanistan, issued and regulated by the country's central bank.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Afghan afghani Target entity description: The Afghan afghani is the official fiat currency of Afghanistan, issued and regulated by the country's central bank.
-
A.
Dirham
The dirham is a historical silver coin and monetary unit widely used in the Islamic world, originating as a standard currency under early Muslim caliphates.
-
B.
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.
-
C.
Iranian rial
The Iranian rial is the official national currency of Iran, known for its high inflation and low international exchange value.
-
D.
Algerian dinar
The Algerian dinar is the official monetary unit of Algeria, issued and regulated by the Bank of Algeria.
-
E.
Indonesian rupiah
The Indonesian rupiah is the official currency of Indonesia, known for experiencing severe devaluation during the late-1990s Asian financial crisis.
- F. None of above. chosen
Provenance (5 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_69a2e801e1d48190b505d1dd336b52ac |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2eef07e748190b05392778f3de980 |
completed | Feb. 28, 2026, 1:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a431e1d6348190875a434414029e7d |
completed | March 1, 2026, 12:32 p.m. |
| NEDg | Description generation | batch_69a432792adc8190b76730f1a5d605c4 |
completed | March 1, 2026, 12:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a432add17c8190ad9117348cfaa348 |
completed | March 1, 2026, 12:35 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.