Triple

T564497
Position Surface form Disambiguated ID Type / Status
Subject Académie royale de peinture et de sculpture E13522 entity
Predicate hadRule P2846 FINISHED
Object hierarchy of genres 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: hierarchy of genres | Statement: [Académie royale de peinture et de sculpture, hadRule, hierarchy of genres]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hadRule
Context triple: [Académie royale de peinture et de sculpture, hadRule, hierarchy of genres]
  • A. hasRule chosen
    Indicates that an entity is governed, constrained, or defined by a specific rule or set of rules.
  • B. has
    Indicates that one entity possesses, owns, contains, or includes another entity as part of its state or composition.
  • C. hadFort
    Indicates that an entity possessed, controlled, or contained a fort at some time.
  • D. hadMember
    Indicates that an entity was formerly a member or part of another entity or group.
  • E. have
    Indicates that one entity possesses, owns, or contains another entity or attribute.
  • 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_69a4933edcf08190b35ecfd6014caee6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49a735b2881908293ad21ad41cdd6 completed March 1, 2026, 7:58 p.m.
PD Predicate disambiguation batch_69a494c044648190a98589ab18935216 completed March 1, 2026, 7:34 p.m.
Created at: March 1, 2026, 7:32 p.m.