Triple

T25455245
Position Surface form Disambiguated ID Type / Status
Subject Corps des Pages E637896 entity
Predicate hadRankSystem P158537 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: [Corps des Pages, hadRankSystem, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hadRankSystem
Context triple: [Corps des Pages, hadRankSystem, yes]
  • A. hasRanks
    Indicates that one entity possesses, is assigned, or is associated with one or more rank levels or hierarchical positions.
  • B. hasRankingSystemManagedBy
    Indicates that a ranking system is overseen, controlled, or administered by a specified managing entity.
  • C. hasRankLevels
    Indicates that an entity is associated with one or more hierarchical rank levels within a ranking or grading system.
  • D. hasRankCategory
    Indicates that an entity is assigned to a particular rank-based classification or level within an ordered hierarchy.
  • E. hasRankingUnit
    Indicates that one entity is associated with a specific unit or scale used to express its ranking or ordered position.
  • 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_69e75db7c5048190b8da9cd7eeedb610 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f725e4d08190b0304e45a417193b completed May 2, 2026, 1:07 p.m.
PD Predicate disambiguation batch_69f4683b34748190818428489a226124 completed May 1, 2026, 8:45 a.m.
PDg Predicate description generation batch_69f46d361c348190b5fdfd805ecde01b completed May 1, 2026, 9:07 a.m.
Created at: April 21, 2026, 2:04 p.m.