Triple

T544026
Position Surface form Disambiguated ID Type / Status
Subject Mauritanian ouguiya E12692 entity
Predicate ISO4217Code P189 FINISHED
Object MRU
MRU is the three-letter ISO 4217 currency code for the Mauritanian ouguiya, the official currency of Mauritania.
E67886 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: MRU | Statement: [Mauritanian ouguiya, ISO4217Code, MRU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MRU
Context triple: [Mauritanian ouguiya, ISO4217Code, MRU]
  • A. MR
    MR is a Belgian French-speaking liberal political party that participated as one of the partners in the federal Vivaldi coalition government led by Alexander De Croo.
  • B. MUR
    MUR is the Italian Ministry responsible for national policies on universities, higher education, and scientific and technological research.
  • C. MURI
    MURI is a U.S. Department of Defense research program that funds large, multidisciplinary university teams to address complex, high-impact scientific and engineering challenges.
  • D. MVD
    The MVD was the Soviet Ministry of Internal Affairs, a powerful state security and police organ that, among other functions, administered the Gulag forced labor camp system.
  • E. MCV
    MCV is the National Rail station code for Manchester Victoria railway station, a major rail hub in Manchester, England.
  • 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: MRU
Triple: [Mauritanian ouguiya, ISO4217Code, MRU]
Generated description
MRU is the three-letter ISO 4217 currency code for the Mauritanian ouguiya, the official currency of Mauritania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MRU
Target entity description: MRU is the three-letter ISO 4217 currency code for the Mauritanian ouguiya, the official currency of Mauritania.
  • A. MR
    MR is a Belgian French-speaking liberal political party that participated as one of the partners in the federal Vivaldi coalition government led by Alexander De Croo.
  • B. MUR
    MUR is the Italian Ministry responsible for national policies on universities, higher education, and scientific and technological research.
  • C. MURI
    MURI is a U.S. Department of Defense research program that funds large, multidisciplinary university teams to address complex, high-impact scientific and engineering challenges.
  • D. MVD
    The MVD was the Soviet Ministry of Internal Affairs, a powerful state security and police organ that, among other functions, administered the Gulag forced labor camp system.
  • E. MCV
    MCV is the National Rail station code for Manchester Victoria railway station, a major rail hub in Manchester, England.
  • 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_69a49334226c81908b0ea1689ef6aa3f completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a498dea88881908a938fe8f2313bec completed March 1, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4cc5f6dfc8190a6c97a81aa8e82a3 completed March 1, 2026, 11:31 p.m.
NEDg Description generation batch_69a4cdd043b881908795f61cbfa06bc8 completed March 1, 2026, 11:37 p.m.
NED2 Entity disambiguation (via description) batch_69a4cf2e7b908190817cfcaf0490d6f7 completed March 1, 2026, 11:43 p.m.
Created at: March 1, 2026, 7:32 p.m.