Triple
T1223860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ZWL |
E26282
|
entity |
| Predicate | denotedIn |
P19942
|
FINISHED |
| Object | Zimbabwean dollar accounts |
—
|
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: Zimbabwean dollar accounts | Statement: [ZWL, denotedIn, Zimbabwean dollar accounts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: denotedIn Context triple: [ZWL, denotedIn, Zimbabwean dollar accounts]
-
A.
denomination
Indicates the specific religious or organizational branch, sect, or subgroup with which an entity is affiliated.
-
B.
currencyOfDenomination
Indicates that one currency unit is a specific denomination or face value within another currency system.
-
C.
usedByDenomination
Indicates that something (such as an object, practice, or concept) is employed or utilized by a particular religious denomination.
-
D.
denominationContext
chosen
Indicates the contextual or situational framework within which a particular denomination, classification, or named unit is defined or interpreted.
-
E.
isLegalTenderFor
Indicates that a particular currency or form of money is officially recognized by a governing authority as valid payment for debts and financial transactions within a specified jurisdiction.
- 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_69a49484688c8190a1bf285eb396a8b6 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be233fd88190996faf4105c0b8d7 |
completed | March 1, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69a4bb644af08190ba25905f20adb01a |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:47 p.m.