Triple

T20946517
Position Surface form Disambiguated ID Type / Status
Subject Samson et Dalila E515856 entity
Predicate firstFrenchPerformanceCity P32700 FINISHED
Object Rouen NE NERFINISHED

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: Rouen | Statement: [Samson et Dalila, firstFrenchPerformanceCity, Rouen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rouen
Context triple: [Samson et Dalila, firstFrenchPerformanceCity, Rouen]
  • A. Rouen chosen
    Rouen is a historic city in northern France renowned for its medieval architecture, Gothic cathedral, and association with figures like Joan of Arc and the Impressionist painter Claude Monet.
  • B. Reims
    Reims is a historic city in northeastern France known for its Gothic cathedral, role in French coronations, and significance during both World Wars.
  • C. Amiens
    Amiens is a historic city in northern France, known for its Gothic cathedral and role as the site of the 1802 Treaty of Amiens.
  • D. Meaux
    Meaux is a historic commune in the Île-de-France region of north-central France, known for its cathedral, World War I heritage, and production of Brie de Meaux cheese.
  • E. Saintes
    Saintes is a historic town in southwestern France, known for its well-preserved Roman and medieval heritage, including ancient monuments and religious sites.
  • 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: firstFrenchPerformanceCity
Context triple: [Samson et Dalila, firstFrenchPerformanceCity, Rouen]
  • A. firstFrenchPremiereLocation chosen
    Indicates the location where an entity had its first premiere or initial public showing in France.
  • B. firstPerformanceCityOfWork
    Indicates the city where a particular work was first performed.
  • C. firstFrenchPremiereDate
    Indicates the date on which something (such as a work or event) was first premiered or publicly presented in France.
  • D. firstNonBayreuthPerformanceCity
    Indicates the city where a work was first performed outside of Bayreuth.
  • E. firstProfessionalPerformanceCity
    Indicates the city where an entity carried out its first professional performance.
  • 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_69e0b4fcd678819087a304291f14330a completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fad97aa48190b4be692e3afce8c9 completed April 21, 2026, 4:19 a.m.
PD Predicate disambiguation batch_69e5c9b1bae48190a845165fed1b005e completed April 20, 2026, 6:37 a.m.
Created at: April 16, 2026, 12:56 p.m.