Triple

T35176870
Position Surface form Disambiguated ID Type / Status
Subject Ley Orgánica de Alcaldías de la Ciudad de México E1015730 entity
Predicate tieneAmbitoMaterial P184044 FINISHED
Object derecho administrativo 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: derecho administrativo | Statement: [Ley Orgánica de Alcaldías de la Ciudad de México, tieneAmbitoMaterial, derecho administrativo]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: tieneAmbitoMaterial
Context triple: [Ley Orgánica de Alcaldías de la Ciudad de México, tieneAmbitoMaterial, derecho administrativo]
  • A. hasMaterialAspect
    Indicates that something possesses a physical or tangible component or aspect as part of its overall nature or existence.
  • B. isMaterialSpecific
    Indicates that a relationship, rule, or property applies only to a particular material or set of materials, rather than being generally applicable.
  • C. hasMaterialRole
    Indicates that an entity participates in an activity or context by fulfilling a specific material-related role or function.
  • D. hasMaterialType
    Indicates that something is composed of, made from, or characterized by a specific type of material.
  • E. testedMaterial
    Indicates that an entity has been used as the material or substance on which a test or experiment was performed.
  • F. None of above. chosen

Provenance (4 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_69f76ddcc108819097f96853b7ed9ef4 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f7aaabb58c8190bf81673608ecfb6e completed May 3, 2026, 8:06 p.m.
PD Predicate disambiguation batch_69f7a8cec6d48190bebfa884b2f938c0 completed May 3, 2026, 7:58 p.m.
PDg Predicate description generation batch_69f7aa6795f481908940838ee7041ff5 completed May 3, 2026, 8:04 p.m.
Created at: May 3, 2026, 4:02 p.m.