Triple

T3124399
Position Surface form Disambiguated ID Type / Status
Subject Pierre Savoye E65260 entity
Predicate villaHeritageDesignation P921 FINISHED
Object French historical monument 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: French historical monument | Statement: [Pierre Savoye, villaHeritageDesignation, French historical monument]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: villaHeritageDesignation
Context triple: [Pierre Savoye, villaHeritageDesignation, French historical monument]
  • A. heritageDesignation
    Indicates that an entity has been formally assigned a specific cultural, historical, or heritage protection status by an authority.
  • B. hasHeritageDesignation chosen
    Indicates that an entity has been formally assigned a specific heritage or cultural protection status by an authoritative body.
  • C. heritageDesignationNumber
    Indicates the specific official identification number assigned to an entity as part of its heritage or cultural protection designation.
  • D. heritageDesignationReason
    Indicates the reason or justification for which something has been granted a particular heritage designation.
  • E. residenceHistoric
    Indicates that a residence has historical significance or is formally recognized as a historic dwelling.
  • 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_69ad8580c72481909672d37acf647893 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada52d856c8190a5d65b8a6452be21 completed March 8, 2026, 4:34 p.m.
PD Predicate disambiguation batch_69ad9df62e548190b053e1478deed467 completed March 8, 2026, 4:04 p.m.
Created at: March 8, 2026, 3:04 p.m.