Triple

T796668
Position Surface form Disambiguated ID Type / Status
Subject United Arab Emirates dirham E17037 entity
Predicate ISO4217Code P189 FINISHED
Object AED
AED is the official three-letter currency code for the United Arab Emirates dirham, the national currency of the United Arab Emirates.
 E94884 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: AED | Statement: [United Arab Emirates dirham, ISO4217Code, AED]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AED
Context triple: [United Arab Emirates dirham, ISO4217Code, AED]
  • A. EdA
    EdA is the commonly used abbreviation for the Spanish Air and Space Force, the aerial warfare branch of Spain's armed forces.
  • B. DA
    DA is the official abbreviation for the United States Department of the Army, the federal agency responsible for organizing, training, and equipping the U.S. Army.
  • C. EAO
    EAO is the acronym for the European Audiovisual Observatory, an organization that collects and disseminates data and analysis on the audiovisual industry in Europe.
  • D. AWE
    AWE is the ICAO airline designator used to identify US Airways in aviation operations and communications.
  • E. AAR
    AAR is the American Association of Railroads' wheel arrangement classification system commonly used to describe locomotive axle configurations in North America.
  • 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: AED
Triple: [United Arab Emirates dirham, ISO4217Code, AED]
Generated description
AED is the official three-letter currency code for the United Arab Emirates dirham, the national currency of the United Arab Emirates.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AED
Target entity description: AED is the official three-letter currency code for the United Arab Emirates dirham, the national currency of the United Arab Emirates.
  • A. EdA
    EdA is the commonly used abbreviation for the Spanish Air and Space Force, the aerial warfare branch of Spain's armed forces.
  • B. DA
    DA is the official abbreviation for the United States Department of the Army, the federal agency responsible for organizing, training, and equipping the U.S. Army.
  • C. EAO
    EAO is the acronym for the European Audiovisual Observatory, an organization that collects and disseminates data and analysis on the audiovisual industry in Europe.
  • D. AWE
    AWE is the ICAO airline designator used to identify US Airways in aviation operations and communications.
  • E. AAR
    AAR is the American Association of Railroads' wheel arrangement classification system commonly used to describe locomotive axle configurations in North America.
  • 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_69a49378b9c48190adbf5f62e5b7aca1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a7b172e88190a26d31c9075b81fb completed March 1, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69a67effd3b481909036bdc43d7b909f completed March 3, 2026, 6:26 a.m.
NEDg Description generation batch_69a67fd11a5081909d068eabe31b2187 completed March 3, 2026, 6:29 a.m.
NED2 Entity disambiguation (via description) batch_69a680bae34481909255d07f325d97d4 completed March 3, 2026, 6:33 a.m.
Created at: March 1, 2026, 7:38 p.m.