Triple

T24791619
Position Surface form Disambiguated ID Type / Status
Subject GTP E620265 entity
Predicate usesCommonHybridSystem P109856 FINISHED
Object yes 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: yes | Statement: [GTP, usesCommonHybridSystem, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesCommonHybridSystem
Context triple: [GTP, usesCommonHybridSystem, yes]
  • A. hasHybridSystem chosen
    Indicates that an entity is equipped with or incorporates a hybrid system, typically combining two or more different technologies or power sources.
  • B. hasHybridUses
    Indicates that an entity is used in both traditional (e.g., physical or analog) and modern or alternative (e.g., digital, renewable, or mixed-mode) ways or contexts.
  • C. hasHybridSpecies
    Indicates that one entity is a hybrid species that results from the combination or crossbreeding of another entity (or entities).
  • D. isUnifiedSystem
    Indicates that multiple components or elements function together as a single, coherent, integrated system.
  • E. hasHybridization
    Indicates that one entity participates in or results from a hybridization process involving another entity.
  • 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_69e2fabe77c8819085f7ce6486248139 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f464b4c9b0819085daa00c7c3b8b76 completed May 1, 2026, 8:30 a.m.
PD Predicate disambiguation batch_69f45cf017a88190b4985b11159c907d completed May 1, 2026, 7:57 a.m.
Created at: April 18, 2026, 4:47 a.m.