Triple
T3329306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conakry |
E69995
|
entity |
| Predicate | currency |
P245
|
FINISHED |
| Object | Guinean franc |
E215566
|
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: Guinean franc | Statement: [Conakry, currency, Guinean franc]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guinean franc Context triple: [Conakry, currency, Guinean franc]
-
A.
Guinean franc
chosen
The Guinean franc is the official national currency of Guinea, used for all monetary transactions within the country.
-
B.
French West African franc
The French West African franc was the colonial currency used across several territories in French West Africa before being replaced by the CFA franc.
-
C.
Central African CFA franc
The Central African CFA franc is a regional currency used by several Central African countries, including Gabon, and is guaranteed by the French Treasury.
-
D.
West African CFA franc
The West African CFA franc is a regional currency used by several West African countries, issued by the Central Bank of West African States and pegged to the euro.
-
E.
Congolese franc
The Congolese franc is the official monetary unit used in the Democratic Republic of the Congo for all financial and commercial transactions.
- 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_69ad85a24f208190bcf83131bfed3521 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1708b908190bc5c4122623d9b77 |
completed | March 8, 2026, 5:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b33423dc288190b71eaa1c0feb26eb |
completed | March 12, 2026, 9:46 p.m. |
Created at: March 8, 2026, 3:12 p.m.