Triple

T191017
Position Surface form Disambiguated ID Type / Status
Subject Officier de la Légion d'honneur E3720 entity
Predicate centralMotive P2366 FINISHED
Object medallion with Marianne 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: medallion with Marianne | Statement: [Officier de la Légion d'honneur, centralMotive, medallion with Marianne]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: centralMotive
Context triple: [Officier de la Légion d'honneur, centralMotive, medallion with Marianne]
  • A. centralIn
    Indicates that one entity occupies a central or most important position within another entity, context, or structure.
  • B. centralText
    Indicates that one text element is positioned or designated as the central or primary text relative to surrounding content or layout.
  • C. primaryMotif chosen
    Indicates that one entity serves as the main recurring theme or dominant motif associated with another entity.
  • D. isCentralTo
    Indicates that something plays a primary, essential, or defining role in relation to something else, such that the latter depends on or is organized around it.
  • E. mainMediator
    Indicates that an entity serves as the primary intermediary or facilitator through which interaction, communication, or influence between other entities is conducted.
  • 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_69a2548debd48190ae3a06d6e65b53c6 completed Feb. 28, 2026, 2:35 a.m.
NER Named-entity recognition batch_69a25964fc5c8190bd3e37daaf695ecf completed Feb. 28, 2026, 2:56 a.m.
PD Predicate disambiguation batch_69a25673ce3c8190b1a3df5b814a0595 completed Feb. 28, 2026, 2:44 a.m.
Created at: Feb. 28, 2026, 2:41 a.m.