Triple

T8489480
Position Surface form Disambiguated ID Type / Status
Subject B1 Centauro E200929 entity
Predicate NBCProtection P56582 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: [B1 Centauro, NBCProtection, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: NBCProtection
Context triple: [B1 Centauro, NBCProtection, yes]
  • A. protectsRight
    Indicates that one entity safeguards, upholds, or defends the legal or moral rights of another entity.
  • B. protectedBy
    Indicates that one entity provides protection, defense, or safeguarding for another entity.
  • C. aimsToProtect
    Indicates an intention or purpose to safeguard or defend one entity, value, or condition from harm, risk, or undesirable outcomes.
  • D. protectionCategory chosen
    Indicates a classification relationship where an entity is assigned to a specific type or level of protection based on defined protective criteria or rules.
  • E. providesProtectionIn
    Indicates that one entity offers protection or safeguarding to another entity within a specified context, location, or situation.
  • 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_69ca831d7b148190a6e32c1de43ab13b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe5581d308190b47d76dd49a36529 completed March 31, 2026, 3:16 p.m.
PD Predicate disambiguation batch_69cbd107633c8190a36ba50e07876918 completed March 31, 2026, 1:49 p.m.
Created at: March 30, 2026, 6:13 p.m.