Triple

T12787910
Position Surface form Disambiguated ID Type / Status
Subject Flag of Rhône department E305679 entity
Predicate usesHeraldryOf P61212 FINISHED
Object Lyonnais E426772 NE FINISHED

How this triple was built (3 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: Lyonnais | Statement: [Flag of Rhône department, usesHeraldryOf, Lyonnais]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lyonnais
Context triple: [Flag of Rhône department, usesHeraldryOf, Lyonnais]
  • A. Lyonnais chosen
    Lyonnais is a historical region in east-central France centered around the city of Lyon, known for its rich cultural heritage, gastronomy, and role as a major economic hub.
  • B. Lyonnet
    Lyonnet is a French surname most notably associated with professional dancer Grégoire Lyonnet.
  • C. Roannais
    Roannais is a natural region in central France known for its rolling countryside, agricultural landscapes, and proximity to the upper Loire River.
  • D. Brionnais
    Brionnais is a historic rural region in eastern France known for its Romanesque churches, traditional stone villages, and Charolais cattle farming.
  • E. Auberjonois
    Auberjonois is a surname most prominently associated with René Auberjonois, an American actor known for roles in film, television, and voice work.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: usesHeraldryOf
Context triple: [Flag of Rhône department, usesHeraldryOf, Lyonnais]
  • A. hasHeraldicUse chosen
    Indicates that something is used as, or incorporated into, a heraldic device, emblem, or coat of arms.
  • B. coatOfArms
    Indicates that one entity serves as the heraldic emblem or coat of arms representing another entity.
  • C. heraldicName
    Indicates the formal name or designation assigned to a heraldic element (such as a coat of arms, charge, or symbol) within a heraldic system.
  • D. heraldicConnection
    Indicates a relationship where entities are linked through heraldry, such as by shared coats of arms, heraldic symbols, lineage, or official armorial associations.
  • E. hasHeraldicBasis
    Indicates that something is founded on, derived from, or justified by heraldic principles, symbols, or traditions.
  • F. None of above.

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_69d7bdf366888190a8cccb982606889c completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e5dbdb88190a1b06721ada51627 completed April 10, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ebeab2081908a6e38351613e3ed completed May 2, 2026, 11:54 p.m.
PD Predicate disambiguation batch_69d9640ba0688190973e4e7ec8d4a8e0 completed April 10, 2026, 8:56 p.m.
Created at: April 9, 2026, 5:29 p.m.