Triple
T4372267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venezuelan bolívar |
E98922
|
entity |
| Predicate | isWidelyTradedInternationally |
P6188
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [Venezuelan bolívar, isWidelyTradedInternationally, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isWidelyTradedInternationally Context triple: [Venezuelan bolívar, isWidelyTradedInternationally, false]
-
A.
isWidelyTraded
chosen
Indicates that an asset or item is frequently bought and sold across many participants or markets, resulting in high trading activity and liquidity.
-
B.
operatesInternationally
Indicates that the entity conducts activities or business across national borders in multiple countries.
-
C.
isInternational
Indicates that something has a connection to, involves, or extends across more than one country.
-
D.
haveInternationalRecognition
Indicates that an entity is formally acknowledged or accepted by the international community or by official bodies across multiple countries.
-
E.
underlyingIsMultinational
Indicates that the underlying entity operates in or is registered across multiple countries as a multinational organization.
- 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_69b3454db3708190aeafd814413c4c3d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3521dffbc8190b9300a7f4f64bdc0 |
completed | March 12, 2026, 11:54 p.m. |
| PD | Predicate disambiguation | batch_69b34f557fe8819085032bf7f0cea5dc |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:17 p.m.