Triple
T9960747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gitega |
E195559
|
entity |
| Predicate | currency |
P245
|
FINISHED |
| Object | Burundian franc |
E195560
|
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: Burundian franc | Statement: [Gitega, currency, Burundian franc]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burundian franc Context triple: [Gitega, currency, Burundian franc]
-
A.
Burundian franc
chosen
The Burundian franc is the official monetary unit of Burundi, used for all financial transactions and issued by the country's central bank.
-
B.
Rwandan franc
The Rwandan franc is the official monetary unit of Rwanda, used for everyday transactions and issued by the National Bank of Rwanda.
-
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.
Congolese franc
The Congolese franc is the official monetary unit used in the Democratic Republic of the Congo for all financial and commercial transactions.
-
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.
- 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_69ca82eaaa008190a54fa1a9f954b9ad |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb6d219c48190b2084b0eb07ae125 |
completed | April 2, 2026, 12:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23d904bbc8190ac0b28600ed2e709 |
completed | April 5, 2026, 10:46 a.m. |
Created at: March 30, 2026, 8:47 p.m.