Triple

T57518
Position Surface form Disambiguated ID Type / Status
Subject Commander of the Order of Arts and Letters of France E1137 entity
Predicate typeOfRecognition P310 FINISHED
Object individual distinction 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: individual distinction | Statement: [Commander of the Order of Arts and Letters of France, typeOfRecognition, individual distinction]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfRecognition
Context triple: [Commander of the Order of Arts and Letters of France, typeOfRecognition, individual distinction]
  • A. formOfRecognition
    Indicates a relationship where one entity serves as an official acknowledgment, honor, or validation granted to another entity.
  • B. fieldOfRecognition
    Indicates the domain, discipline, or area in which an entity is formally acknowledged, honored, or recognized.
  • C. recognizedFor
    Indicates that one entity is acknowledged, credited, or honored for a particular achievement, quality, contribution, or work associated with another entity.
  • D. recognizedAs chosen
    Indicates that one entity is acknowledged or accepted as having the identity, role, status, or classification of another entity.
  • E. qualificationBadge
    Indicates that an entity has been awarded or holds a specific qualification badge signifying a certified skill, status, or achievement.
  • 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_69a248adc5b48190aa8db9fb092fb28a completed Feb. 28, 2026, 1:45 a.m.
NER Named-entity recognition batch_69a24b915c9881908c798f4dacb39f1d completed Feb. 28, 2026, 1:57 a.m.
PD Predicate disambiguation batch_69a24ac6799c8190b508933acc0a4c7d completed Feb. 28, 2026, 1:54 a.m.
Created at: Feb. 28, 2026, 1:50 a.m.