Triple
T199670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zimbabwean dollar |
E4073
|
entity |
| Predicate | thirdRedenominationYear |
P8045
|
FINISHED |
| Object | 2009 |
—
|
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: 2009 | Statement: [Zimbabwean dollar, thirdRedenominationYear, 2009]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thirdRedenominationYear Context triple: [Zimbabwean dollar, thirdRedenominationYear, 2009]
-
A.
reversionYear
Indicates the year in which something returns to a previous state, condition, or ownership.
-
B.
rededicationDate
Indicates the date on which something is formally dedicated again, typically after restoration, change, or renewal.
-
C.
decimalisationDate
Indicates the date on which a system, currency, or measurement was converted to a decimal-based format.
-
D.
confiscationYear
Indicates the year in which something was officially taken away or seized, typically by an authority.
-
E.
legalTenderUntil
Indicates that a form of money is officially recognized as valid payment only up to a specified date or time.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69a25bc6ba208190aa8bec59d32f95fd |
completed | Feb. 28, 2026, 3:06 a.m. |
Created at: Feb. 28, 2026, 2:44 a.m.