Triple

T12603134
Position Surface form Disambiguated ID Type / Status
Subject new zaire E300907 entity
Predicate currencyCode P208 FINISHED
Object ZRN
ZRN was the ISO 4217 currency code for the New Zaire, the former monetary unit of Zaire (now the Democratic Republic of the Congo).
E993926 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: ZRN | Statement: [new zaire, currencyCode, ZRN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ZRN
Context triple: [new zaire, currencyCode, ZRN]
  • A. ZNA
    ZNA is the IATA airport code for Nanaimo Harbour Water Airport, a seaplane facility serving Nanaimo, British Columbia, Canada.
  • B. ZWN
    ZWN is a former currency code used to denote an early version of the Zimbabwean dollar in international financial and foreign exchange contexts.
  • C. RZ
    RZ is the vehicle registration code used on license plates for the district of Lauenburg in the German state of Schleswig-Holstein.
  • D. RZE
    RZE is the IATA airport code for Rzeszów–Jasionka Airport, an international airport serving the city of Rzeszów in southeastern Poland.
  • E. ZNE
    ZNE is the IATA airport code for Newman Airport, which serves the mining town of Newman in Western Australia.
  • 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: ZRN
Triple: [new zaire, currencyCode, ZRN]
Generated description
ZRN was the ISO 4217 currency code for the New Zaire, the former monetary unit of Zaire (now the Democratic Republic of the Congo).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ZRN
Target entity description: ZRN was the ISO 4217 currency code for the New Zaire, the former monetary unit of Zaire (now the Democratic Republic of the Congo).
  • A. ZNA
    ZNA is the IATA airport code for Nanaimo Harbour Water Airport, a seaplane facility serving Nanaimo, British Columbia, Canada.
  • B. ZWN
    ZWN is a former currency code used to denote an early version of the Zimbabwean dollar in international financial and foreign exchange contexts.
  • C. RZ
    RZ is the vehicle registration code used on license plates for the district of Lauenburg in the German state of Schleswig-Holstein.
  • D. RZE
    RZE is the IATA airport code for Rzeszów–Jasionka Airport, an international airport serving the city of Rzeszów in southeastern Poland.
  • E. ZNE
    ZNE is the IATA airport code for Newman Airport, which serves the mining town of Newman in Western Australia.
  • F. None of above. chosen

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_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954e6e20481908bca684c4b497c48 completed April 10, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ecb09e481909d688f174372dde7 completed May 2, 2026, 8:30 p.m.
NEDg Description generation batch_69f65fd6fa8c819094a31f8c2d8ee72d completed May 2, 2026, 8:34 p.m.
NED2 Entity disambiguation (via description) batch_69f663fe2fac8190bb70c8f1b919d657 completed May 2, 2026, 8:52 p.m.
Created at: April 9, 2026, 5:10 p.m.