Triple
T16630549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SDG |
E404066
|
entity |
| Predicate | isOfficialCurrencyCodeOf |
P32242
|
FINISHED |
| Object | Sudanese pound |
E86907
|
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: Sudanese pound | Statement: [SDG, isOfficialCurrencyCodeOf, Sudanese pound]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sudanese pound Context triple: [SDG, isOfficialCurrencyCodeOf, Sudanese pound]
-
A.
Sudanese pound
chosen
The Sudanese pound is the official monetary unit of Sudan, used for everyday transactions and economic activities within the country.
-
B.
Sudanese dinar
The Sudanese dinar was the former currency of Sudan, used mainly in the 1990s and early 2000s before being replaced by a reintroduced Sudanese pound.
-
C.
South Sudanese pound
The South Sudanese pound is the official legal tender of South Sudan, introduced after the country’s independence to replace the Sudanese pound.
-
D.
Egyptian pound
The Egyptian pound is the official monetary unit of Egypt, used for everyday transactions, pricing, and financial operations throughout the country.
-
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.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e378e5d4448190bfb1b6157bbe5285 |
completed | April 18, 2026, 12:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084b7b94481909dfc0dd7b009a5b4 |
completed | May 10, 2026, 1:14 p.m. |
Created at: April 10, 2026, 5:17 a.m.