Triple

T11337230
Position Surface form Disambiguated ID Type / Status
Subject Unidad de Inteligencia Financiera E268501 entity
Predicate shortName P43 FINISHED
Object UIF
UIF is Mexico’s Financial Intelligence Unit responsible for analyzing and combating money laundering and terrorist financing through oversight of financial operations.
 E918355 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: UIF | Statement: [Unidad de Inteligencia Financiera, shortName, UIF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UIF
Context triple: [Unidad de Inteligencia Financiera, shortName, UIF]
  • A. UIT
    UIT is the IATA airport code for the airfield serving Jaluit Atoll in the Marshall Islands.
  • B. UI
    UI is the commonly used abbreviation for the University of Iceland, the country’s leading public research university located in Reykjavík.
  • C. UI
    UI is the commonly used abbreviation for the University of Indonesia, one of the country’s leading public universities.
  • D. UIS
    UIS is a public university in Springfield, Illinois, known for its liberal arts and professional programs within the University of Illinois system.
  • E. UIP
    UIP (United International Pictures) is a major international film distribution company that has historically handled overseas releases for major Hollywood studios such as Paramount and Universal.
  • 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: UIF
Triple: [Unidad de Inteligencia Financiera, shortName, UIF]
Generated description
UIF is Mexico’s Financial Intelligence Unit responsible for analyzing and combating money laundering and terrorist financing through oversight of financial operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UIF
Target entity description: UIF is Mexico’s Financial Intelligence Unit responsible for analyzing and combating money laundering and terrorist financing through oversight of financial operations.
  • A. UIT
    UIT is the IATA airport code for the airfield serving Jaluit Atoll in the Marshall Islands.
  • B. UI
    UI is the commonly used abbreviation for the University of Iceland, the country’s leading public research university located in Reykjavík.
  • C. UI
    UI is the commonly used abbreviation for the University of Indonesia, one of the country’s leading public universities.
  • D. UIS
    UIS is a public university in Springfield, Illinois, known for its liberal arts and professional programs within the University of Illinois system.
  • E. UIP
    UIP (United International Pictures) is a major international film distribution company that has historically handled overseas releases for major Hollywood studios such as Paramount and Universal.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea008b5081908e6c6c6fc29ef936 completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5264174d481908db15fb9f644f21d completed April 19, 2026, 7 p.m.
NEDg Description generation batch_69e52c84518881909e6e2a593348a81a completed April 19, 2026, 7:27 p.m.
NED2 Entity disambiguation (via description) batch_69e531d0ab5881909814160b86c8e76b completed April 19, 2026, 7:49 p.m.
Created at: April 8, 2026, 9:33 p.m.