Triple

T28478835
Position Surface form Disambiguated ID Type / Status
Subject Centros de simulación del Ejército de Tierra de España E720634 entity
Predicate entorno P853 FINISHED
Object entornos virtuales inmersivos 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: entornos virtuales inmersivos | Statement: [Centros de simulación del Ejército de Tierra de España, entorno, entornos virtuales inmersivos]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: entorno
Context triple: [Centros de simulación del Ejército de Tierra de España, entorno, entornos virtuales inmersivos]
  • A. environmentType chosen
    Indicates the kind or category of environment associated with an entity or situation.
  • B. environmentAnalogOf
    Indicates that one environment serves as an analogue or counterpart to another, typically mirroring its conditions, structure, or behavior for comparison or simulation purposes.
  • C. secondaryEnvironment
    Indicates that an entity is associated with an additional or supporting environment distinct from its primary one.
  • D. environmentSubtype
    Indicates that one environment is a more specific subtype or category within another, more general environment.
  • E. around
    Indicates that one entity is located or moves on all or most sides of another entity, encircling or surrounding it spatially.
  • 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_69f01a5983f48190b7c1b8857245a4f7 completed April 28, 2026, 2:24 a.m.
NER Named-entity recognition batch_69f64ee7eb088190a195cefc30aa4fff completed May 2, 2026, 7:22 p.m.
PD Predicate disambiguation batch_69f64caede108190a35cc7cbfead866f completed May 2, 2026, 7:12 p.m.
Created at: April 28, 2026, 2:54 a.m.