Triple

T11337560
Position Surface form Disambiguated ID Type / Status
Subject National Commission of the Retirement Savings System (Mexico) E268508 entity
Predicate supervises P258 FINISHED
Object Afores
Afores are private financial institutions in Mexico that manage and invest workers’ individual retirement savings accounts within the country’s pension system.
 E918379 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: Afores | Statement: [National Commission of the Retirement Savings System (Mexico), supervises, Afores]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Afores
Context triple: [National Commission of the Retirement Savings System (Mexico), supervises, Afores]
  • A. Afareaitu
    Afareaitu is the main administrative village of the island of Moorea in French Polynesia.
  • B. Afa
    Afa is a small commune in the Corse-du-Sud department on the French island of Corsica, located inland near the Gulf of Ajaccio.
  • C. Aros
    Aros is a river in J.R.R. Tolkien’s Middle-earth, known for flowing through Beleriand and serving as a natural boundary in the First Age.
  • D. Aujon
    Aujon is a river in northeastern France that flows through the Haute-Marne department.
  • E. Afmadow
    Afmadow is a significant town in southern Somalia that serves as one of the main urban centers of the Jubaland region.
  • 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: Afores
Triple: [National Commission of the Retirement Savings System (Mexico), supervises, Afores]
Generated description
Afores are private financial institutions in Mexico that manage and invest workers’ individual retirement savings accounts within the country’s pension system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Afores
Target entity description: Afores are private financial institutions in Mexico that manage and invest workers’ individual retirement savings accounts within the country’s pension system.
  • A. Afareaitu
    Afareaitu is the main administrative village of the island of Moorea in French Polynesia.
  • B. Afa
    Afa is a small commune in the Corse-du-Sud department on the French island of Corsica, located inland near the Gulf of Ajaccio.
  • C. Aros
    Aros is a river in J.R.R. Tolkien’s Middle-earth, known for flowing through Beleriand and serving as a natural boundary in the First Age.
  • D. Aujon
    Aujon is a river in northeastern France that flows through the Haute-Marne department.
  • E. Afmadow
    Afmadow is a significant town in southern Somalia that serves as one of the main urban centers of the Jubaland region.
  • 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.