Triple
T199671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zimbabwean dollar |
E4073
|
entity |
| Predicate | largestBanknoteDenomination |
P2871
|
FINISHED |
| Object | 100 trillion dollars |
—
|
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: 100 trillion dollars | Statement: [Zimbabwean dollar, largestBanknoteDenomination, 100 trillion dollars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: largestBanknoteDenomination Context triple: [Zimbabwean dollar, largestBanknoteDenomination, 100 trillion dollars]
-
A.
banknoteDenomination
chosen
Indicates the specific face value assigned to a banknote in a given currency.
-
B.
typeOfBanknotes
Indicates a relationship where one entity specifies the kind or category of banknotes associated with another entity.
-
C.
lastSeriesBanknotesFeatured
Indicates that the referenced banknotes were the most recent series to prominently feature a particular subject or design.
-
D.
denomination
Indicates the specific religious or organizational branch, sect, or subgroup with which an entity is affiliated.
-
E.
denominationType
Indicates the specific category or kind of denomination associated with an entity, such as its type within a broader classification of denominations.
- 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_69a254bca59881909a15e1496f1508c7 |
completed | Feb. 28, 2026, 2:36 a.m. |
| NER | Named-entity recognition | batch_69a25bcc6dc88190b8c24b485588dfe4 |
completed | Feb. 28, 2026, 3:06 a.m. |
| PD | Predicate disambiguation | batch_69a25b4886b48190b46fd2244648a098 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:44 a.m.