Triple

T199644
Position Surface form Disambiguated ID Type / Status
Subject Zimbabwean dollar E4073 entity
Predicate ISO4217Code P189 FINISHED
Object ZWR
ZWR is the former ISO 4217 currency code for a past version of Zimbabwe’s national currency, the Zimbabwean dollar.
 E25288 NE FINISHED

How this triple was built (4 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: ZWR | Statement: [Zimbabwean dollar, ISO4217Code, ZWR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ZWR
Context triple: [Zimbabwean dollar, ISO4217Code, ZWR]
  • A. ZWN
    ZWN is a former currency code used to denote an early version of the Zimbabwean dollar in international financial and foreign exchange contexts.
  • B. ZWD
    ZWD is the former currency code for the Zimbabwean dollar, which was used during periods of extreme hyperinflation before the currency was abandoned.
  • C. Z
    Z is the neutral elementary particle known as the Z boson, a carrier of the weak nuclear force in the Standard Model of particle physics.
  • D. ZZ
    ZZ is an aircraft registration prefix used to identify certain aircraft, such as those in the Voyager KC2 fleet.
  • E. W
    W is one of the iconic white capital letters that make up the famous Hollywood Sign overlooking Los Angeles.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ZWR
Triple: [Zimbabwean dollar, ISO4217Code, ZWR]
Generated description
ZWR is the former ISO 4217 currency code for a past version of Zimbabwe’s national currency, the Zimbabwean dollar.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ZWR
Target entity description: ZWR is the former ISO 4217 currency code for a past version of Zimbabwe’s national currency, the Zimbabwean dollar.
  • A. ZWN
    ZWN is a former currency code used to denote an early version of the Zimbabwean dollar in international financial and foreign exchange contexts.
  • B. ZWD chosen
    ZWD is the former currency code for the Zimbabwean dollar, which was used during periods of extreme hyperinflation before the currency was abandoned.
  • C. Z
    Z is the neutral elementary particle known as the Z boson, a carrier of the weak nuclear force in the Standard Model of particle physics.
  • D. ZZ
    ZZ is an aircraft registration prefix used to identify certain aircraft, such as those in the Voyager KC2 fleet.
  • E. W
    W is one of the iconic white capital letters that make up the famous Hollywood Sign overlooking Los Angeles.
  • F. None of above.

Provenance (5 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.
NED1 Entity disambiguation (via context triple) batch_69a32812176c8190987df03dc08b47a9 completed Feb. 28, 2026, 5:38 p.m.
NEDg Description generation batch_69a328ddce8c819096e26296d1f77820 completed Feb. 28, 2026, 5:41 p.m.
NED2 Entity disambiguation (via description) batch_69a3293046f081909ae5468be1589c91 completed Feb. 28, 2026, 5:43 p.m.
Created at: Feb. 28, 2026, 2:44 a.m.