Triple

T16630573
Position Surface form Disambiguated ID Type / Status
Subject Sudanese dinar E404067 entity
Predicate ISO4217Code P189 FINISHED
Object SDD
SDD was the former ISO 4217 currency code for the Sudanese dinar, the currency used in Sudan before being replaced by the Sudanese pound.
 E1225180 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: SDD | Statement: [Sudanese dinar, ISO4217Code, SDD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SDD
Context triple: [Sudanese dinar, ISO4217Code, SDD]
  • A. SDDS
    SDDS (Sony Dynamic Digital Sound) is a multichannel digital cinema sound format developed by Sony to provide high-quality, immersive audio in movie theaters.
  • B. SDDS
    SDDS is an International Monetary Fund standard that guides countries in providing timely and comprehensive economic and financial statistics to the public and markets.
  • C. SSDF
    SSDF is a Somali political and militant organization that opposed the Siad Barre regime and played a significant role in the country's civil conflict.
  • D. SDW
    SDW is the National Rail station code for Sandwich railway station in Kent, England.
  • E. SDC
    SDC is the Swiss government’s agency responsible for international development cooperation and humanitarian aid.
  • 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: SDD
Triple: [Sudanese dinar, ISO4217Code, SDD]
Generated description
SDD was the former ISO 4217 currency code for the Sudanese dinar, the currency used in Sudan before being replaced by the Sudanese pound.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SDD
Target entity description: SDD was the former ISO 4217 currency code for the Sudanese dinar, the currency used in Sudan before being replaced by the Sudanese pound.
  • A. SDDS
    SDDS (Sony Dynamic Digital Sound) is a multichannel digital cinema sound format developed by Sony to provide high-quality, immersive audio in movie theaters.
  • B. SDDS
    SDDS is an International Monetary Fund standard that guides countries in providing timely and comprehensive economic and financial statistics to the public and markets.
  • C. SSDF
    SSDF is a Somali political and militant organization that opposed the Siad Barre regime and played a significant role in the country's civil conflict.
  • D. SDW
    SDW is the National Rail station code for Sandwich railway station in Kent, England.
  • E. SDC
    SDC is the political wing and governing body associated with the Syrian Democratic Forces, representing a coalition of Kurdish, Arab, and other groups in northern and eastern Syria.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e378e5d4448190bfb1b6157bbe5285 completed April 18, 2026, 12:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007dbc6cf48190879b25e66c9453db completed May 10, 2026, 12:44 p.m.
NEDg Description generation batch_6a0081baf8188190be95383ffe68fbb8 completed May 10, 2026, 1:01 p.m.
NED2 Entity disambiguation (via description) batch_6a008239a5348190aea3820cf8a7d3f6 completed May 10, 2026, 1:03 p.m.
Created at: April 10, 2026, 5:17 a.m.