Triple

T24857913
Position Surface form Disambiguated ID Type / Status
Subject La secta del Fénix E622076 entity
Predicate ambientación P30942 FINISHED
Object mundo contemporáneo al narrador 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: mundo contemporáneo al narrador | Statement: [La secta del Fénix, ambientación, mundo contemporáneo al narrador]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ambientación
Context triple: [La secta del Fénix, ambientación, mundo contemporáneo al narrador]
  • A. ambientSpace
    Indicates the surrounding or containing space within which an object, structure, or geometric entity is situated or defined.
  • B. hasAmbience chosen
    Indicates that one entity provides or is characterized by a particular atmosphere, mood, or environmental quality experienced in or around another entity.
  • C. 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.
  • D. ambito
    Indicates the domain, scope, or contextual sphere within which a relation, action, or condition holds.
  • 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_69e2fac350d08190b3affde1b451a8c5 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f43043512481909501a3979cac9947 completed May 1, 2026, 4:46 a.m.
PD Predicate disambiguation batch_69f420fd375c81908ea4a4e60b76ee8f completed May 1, 2026, 3:41 a.m.
Created at: April 18, 2026, 5:21 a.m.