Triple

T11056143
Position Surface form Disambiguated ID Type / Status
Subject Ley Orgánica de la Administración Pública Municipal de Nuevo León E261381 entity
Predicate aplicaA P3306 FINISHED
Object municipio de Monterrey LITERAL FINISHED

How this triple was built (2 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: municipio de Monterrey | Statement: [Ley Orgánica de la Administración Pública Municipal de Nuevo León, aplicaA, municipio de Monterrey]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: aplicaA
Context triple: [Ley Orgánica de la Administración Pública Municipal de Nuevo León, aplicaA, municipio de Monterrey]
  • A. appliedAs
    Indicates that one entity submitted itself or was put forward for consideration in a particular role, position, or context relative to another entity.
  • B. appliesVia
    Indicates that an action, rule, or effect is carried out, implemented, or achieved through a specified method, medium, or mechanism.
  • C. appliedBy
    Indicates that an action, process, or treatment is carried out or executed by a particular agent or entity.
  • D. appliesAt chosen
    Indicates that an action, rule, or condition is relevant to or in effect at a specific location, context, or point in time.
  • E. appliesFrom
    Indicates that a rule, condition, or effect begins to be applicable starting from a specific point in time or state.
  • F. None of above.

Provenance (3 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d798a152b4819095b74a8996346077 completed April 9, 2026, 12:16 p.m.
PD Predicate disambiguation batch_69d7440da46c8190a77380d5d747ac9c completed April 9, 2026, 6:15 a.m.
Created at: April 8, 2026, 9:26 p.m.