Triple

T6660039
Position Surface form Disambiguated ID Type / Status
Subject Manuel Arístides Ramírez Onelcida E151450 entity
Predicate bannedForPEDs P72152 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: [Manuel Arístides Ramírez Onelcida, bannedForPEDs, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: bannedForPEDs
Context triple: [Manuel Arístides Ramírez Onelcida, bannedForPEDs, yes]
  • A. bannedBy
    Indicates that an entity is prohibited or disallowed as a result of a decision or action taken by another entity.
  • B. bannedAfter
    Indicates that one entity becomes prohibited or forbidden only after the occurrence or establishment of another specified entity or event.
  • C. hasJetBan
    Indicates that an entity is subject to a prohibition or restriction on the use or operation of jet aircraft.
  • D. reasonForBan
    Indicates the justification or cause that led to an entity being banned.
  • E. isProhibitedFor
    Indicates that a certain action, object, or condition is not allowed or is forbidden for a specified entity or group.
  • F. None of above. chosen

Provenance (4 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_69c687f5fac48190a09e4838d9c6b45d completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6cc9d53848190ac75523c157249c6 completed March 27, 2026, 6:29 p.m.
PD Predicate disambiguation batch_69c6ad071b0081909b96dd4b93414bd1 completed March 27, 2026, 4:15 p.m.
PDg Predicate description generation batch_69c6cc988c0081909d22b86ca299331c completed March 27, 2026, 6:29 p.m.
Created at: March 27, 2026, 2:02 p.m.