Triple
T3359465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Djiboutian franc |
E70683
|
entity |
| Predicate | isConvertible |
P13430
|
FINISHED |
| Object | yes |
—
|
LITERAL 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: yes | Statement: [Djiboutian franc, isConvertible, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isConvertible Context triple: [Djiboutian franc, isConvertible, yes]
-
A.
convertsTo
Indicates that one entity is transformed or changed into another entity, typically resulting in a different state, form, or representation.
-
B.
allowsConversionTo
Indicates that one entity permits or enables transformation or change into another specified form or state.
-
C.
freelyConvertible
chosen
Indicates that one entity can be exchanged or converted into another without restrictions, limitations, or significant barriers.
-
D.
convertibility
Indicates the capacity or possibility for one entity, state, or form to be changed or transformed into another.
-
E.
convertedBy
Indicates that one entity has been transformed or changed in form, state, or representation through the action or process performed by another entity.
- F. None of above.
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_69ad85a660c48190998489309a3b4869 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb266c4a881908aded39ccb8f43b2 |
completed | March 8, 2026, 5:31 p.m. |
| PD | Predicate disambiguation | batch_69ada42fbe7c8190b9f185b5ab985f17 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:13 p.m.