Triple
T721766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tunisian dinar |
E14631
|
entity |
| Predicate | replacedCurrency |
P2867
|
FINISHED |
| Object |
Tunisian franc
The Tunisian franc was the former national currency of Tunisia used before the adoption of the Tunisian dinar.
|
E88334
|
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: Tunisian franc | Statement: [Tunisian dinar, replacedCurrency, Tunisian franc]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tunisian franc Context triple: [Tunisian dinar, replacedCurrency, Tunisian franc]
-
A.
Tunisian dinar
The Tunisian dinar is the official monetary unit of Tunisia, subdivided into 1,000 millimes and used for all domestic financial transactions.
-
B.
Algerian dinar
The Algerian dinar is the official monetary unit of Algeria, issued and regulated by the Bank of Algeria.
-
C.
Moroccan dirham
The Moroccan dirham is the official monetary unit of Morocco, used for everyday transactions and issued by the country's central bank.
-
D.
Mauritanian ouguiya
The Mauritanian ouguiya is the official monetary unit of Mauritania, used for all everyday transactions and financial operations in the country.
-
E.
Djiboutian franc
The Djiboutian franc is the official monetary unit of Djibouti, a small East African nation strategically located on the Horn of Africa.
- 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: Tunisian franc Triple: [Tunisian dinar, replacedCurrency, Tunisian franc]
Generated description
The Tunisian franc was the former national currency of Tunisia used before the adoption of the Tunisian dinar.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tunisian franc Target entity description: The Tunisian franc was the former national currency of Tunisia used before the adoption of the Tunisian dinar.
-
A.
Tunisian dinar
The Tunisian dinar is the official monetary unit of Tunisia, subdivided into 1,000 millimes and used for all domestic financial transactions.
-
B.
Algerian dinar
The Algerian dinar is the official monetary unit of Algeria, issued and regulated by the Bank of Algeria.
-
C.
Moroccan dirham
The Moroccan dirham is the official monetary unit of Morocco, used for everyday transactions and issued by the country's central bank.
-
D.
Mauritanian ouguiya
The Mauritanian ouguiya is the official monetary unit of Mauritania, used for all everyday transactions and financial operations in the country.
-
E.
Djiboutian franc
The Djiboutian franc is the official monetary unit of Djibouti, a small East African nation strategically located on the Horn of Africa.
- 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_69a4934c753c81909b309027e48b9b3a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a591124c8190842e7ef18b064198 |
completed | March 1, 2026, 8:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a64a5a7e788190b5ad2505b68ca48d |
completed | March 3, 2026, 2:41 a.m. |
| NEDg | Description generation | batch_69a64e3c1eac8190a62e4b24b0715dc2 |
completed | March 3, 2026, 2:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a64ec899ec8190b8d2916c5965fabc |
completed | March 3, 2026, 3 a.m. |
Created at: March 1, 2026, 7:37 p.m.