Triple

T37088752
Position Surface form Disambiguated ID Type / Status
Subject Ley Federal para la Prevención e Identificación de Operaciones con Recursos de Procedencia Ilícita E918357 entity
Predicate requiereReglamento P196066 FINISHED
Object Reglamento de la Ley Federal para la Prevención e Identificación de Operaciones con Recursos de Procedencia Ilícita
El Reglamento de la Ley Federal para la Prevención e Identificación de Operaciones con Recursos de Procedencia Ilícita es la norma mexicana de carácter secundario que detalla y operacionaliza las disposiciones de la llamada “Ley Antilavado” para prevenir y detectar operaciones con recursos de origen ilícito.
 E2211750 NE FINISHED

How this triple was built (3 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: Reglamento de la Ley Federal para la Prevención e Identificación de Operaciones con Recursos de Procedencia Ilícita | Statement: [Ley Federal para la Prevención e Identificación de Operaciones con Recursos de Procedencia Ilícita, requiereReglamento, Reglamento de la Ley Federal para la Prevención e Identificación de Operaciones con Recursos de Procedencia Ilícita]
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: Reglamento de la Ley Federal para la Prevención e Identificación de Operaciones con Recursos de Procedencia Ilícita
Triple: [Ley Federal para la Prevención e Identificación de Operaciones con Recursos de Procedencia Ilícita, requiereReglamento, Reglamento de la Ley Federal para la Prevención e Identificación de Operaciones con Recursos de Procedencia Ilícita]
Generated description
El Reglamento de la Ley Federal para la Prevención e Identificación de Operaciones con Recursos de Procedencia Ilícita es la norma mexicana de carácter secundario que detalla y operacionaliza las disposiciones de la llamada “Ley Antilavado” para prevenir y detectar operaciones con recursos de origen ilícito.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: requiereReglamento
Context triple: [Ley Federal para la Prevención e Identificación de Operaciones con Recursos de Procedencia Ilícita, requiereReglamento, Reglamento de la Ley Federal para la Prevención e Identificación de Operaciones con Recursos de Procedencia Ilícita]
  • A. hasRegulations
    Indicates that one entity imposes, contains, or is associated with rules or regulatory requirements that govern the behavior or operation of another entity.
  • B. regulationImplementedUnder chosen
    Indicates that a regulation has been put into effect pursuant to, and in accordance with, a specific higher-level law, directive, or authority.
  • C. requiredTo
    Indicates that one entity has an obligation or necessity to perform an action or satisfy a condition in relation to another entity or context.
  • D. requiresOrdinance
    Indicates that one entity can only be established, changed, or carried out if a formal ordinance is enacted or in place.
  • E. regulatingRules
    Indicates that one entity establishes or enforces rules or standards that govern or control the behavior, operation, or conditions of another entity.
  • F. None of above.

Provenance (6 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_69f76e9952b88190a6fe01ba01476520 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_6a002ae74da08190a4b47e0ff0f7f8fe completed May 10, 2026, 6:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3efdcac9488190aaf5adcdc5806f70 completed June 26, 2026, 10:31 p.m.
NEDg Description generation batch_6a3efedb154481909bc7a43a00ea2608 completed June 26, 2026, 10:36 p.m.
NED2 Entity disambiguation (via description) batch_6a3eff5a05688190bba19924a228dae9 completed June 26, 2026, 10:38 p.m.
PD Predicate disambiguation batch_6a0029cc369c81909578e52c4a75ab18 completed May 10, 2026, 6:46 a.m.
Created at: May 3, 2026, 4:14 p.m.