Triple

T24408594
Position Surface form Disambiguated ID Type / Status
Subject Premio Las Américas a la Narrativa Latinoamericana E615380 entity
Predicate tieneÁmbitoGeográfico P3227 FINISHED
Object América Latina NE NERFINISHED

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: América Latina | Statement: [Premio Las Américas a la Narrativa Latinoamericana, tieneÁmbitoGeográfico, América Latina]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: tieneÁmbitoGeográfico
Context triple: [Premio Las Américas a la Narrativa Latinoamericana, tieneÁmbitoGeográfico, América Latina]
  • A. geographicContext chosen
    Indicates that one entity is situated within, associated with, or characterized by the geographic setting or region defined by another entity.
  • B. isGeographicalEntity
    Indicates that something exists as a distinct geographic feature, area, or place within physical space.
  • C. hasGeographicType
    Indicates that an entity is associated with or classified by a specific type or category of geographic feature or area.
  • D. geographicCoverageType
    Indicates the type or nature of the geographic area that something covers or applies to.
  • E. containsGeographicalArea
    Indicates that one geographical area spatially encompasses or includes another geographical area within its boundaries.
  • 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_69e2d7e780bc81908049c779e697a7f6 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f2957fab0481909121c6da6b5e34c0 completed April 29, 2026, 11:34 p.m.
PD Predicate disambiguation batch_69f287cc4fd4819081e93cc638d9512d completed April 29, 2026, 10:35 p.m.
Created at: April 18, 2026, 2:05 a.m.