Triple
T312286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riyadh |
E7632
|
entity |
| Predicate | currency |
P245
|
FINISHED |
| Object |
Saudi riyal
The Saudi riyal is the official monetary unit of Saudi Arabia, used nationwide for all financial transactions and pegged to the US dollar.
|
E40063
|
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: Saudi riyal | Statement: [Riyadh, currency, Saudi riyal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saudi riyal Context triple: [Riyadh, currency, Saudi riyal]
-
A.
United Arab Emirates dirham
The United Arab Emirates dirham is the official currency of the United Arab Emirates, widely used in trade, tourism, and financial transactions across the country.
-
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.
Algerian dinar
The Algerian dinar is the official monetary unit of Algeria, issued and regulated by the Bank of Algeria.
-
D.
Iranian rial
The Iranian rial is the official national currency of Iran, known for its high inflation and low international exchange value.
-
E.
Libyan dinar
The Libyan dinar is the official monetary unit of Libya, used for everyday transactions and economic activities throughout the country.
- 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: Saudi riyal Triple: [Riyadh, currency, Saudi riyal]
Generated description
The Saudi riyal is the official monetary unit of Saudi Arabia, used nationwide for all financial transactions and pegged to the US dollar.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Saudi riyal Target entity description: The Saudi riyal is the official monetary unit of Saudi Arabia, used nationwide for all financial transactions and pegged to the US dollar.
-
A.
United Arab Emirates dirham
The United Arab Emirates dirham is the official currency of the United Arab Emirates, widely used in trade, tourism, and financial transactions across the country.
-
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.
Algerian dinar
The Algerian dinar is the official monetary unit of Algeria, issued and regulated by the Bank of Algeria.
-
D.
Iranian rial
The Iranian rial is the official national currency of Iran, known for its high inflation and low international exchange value.
-
E.
Libyan dinar
The Libyan dinar is the official monetary unit of Libya, used for everyday transactions and economic activities throughout the country.
- 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_69a2e7e7af7881908890039d6be4e9b8 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ea4aa16881909b2c8404b85992df |
completed | Feb. 28, 2026, 1:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3bc2963b48190b5bd7ac84c952486 |
completed | March 1, 2026, 4:10 a.m. |
| NEDg | Description generation | batch_69a3bd9402b0819082f3776a24499964 |
completed | March 1, 2026, 4:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3be0a03048190bc479e415c467991 |
completed | March 1, 2026, 4:18 a.m. |
Created at: Feb. 28, 2026, 1:07 p.m.