Triple

T1682195
Position Surface form Disambiguated ID Type / Status
Subject Orphée et Eurydice E36361 entity
Predicate firstFrenchPremiereLocation P32700 FINISHED
Object Paris E568 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: Paris | Statement: [Orphée et Eurydice, firstFrenchPremiereLocation, Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris
Context triple: [Orphée et Eurydice, firstFrenchPremiereLocation, Paris]
  • A. Paris chosen
    Paris is the capital and largest city of France, renowned for its historic architecture, art, fashion, and cultural influence worldwide.
  • B. Paris
    Paris is a prince of Troy in Greek mythology, best known for judging the beauty contest of the goddesses and for abducting Helen, which sparked the Trojan War.
  • C. Lyon
    Lyon is a major city in east-central France known for its historical and architectural landmarks, gastronomy, and role as a key economic and cultural center.
  • D. Palaiseau
    Palaiseau is a suburban commune in the southern outskirts of Paris, France, known for hosting major scientific and engineering institutions.
  • E. Boulogne-Billancourt
    Boulogne-Billancourt is a densely populated suburban city just southwest of central Paris, known as a major economic and media hub in the Île-de-France region.
  • 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: firstFrenchPremiereLocation
Context triple: [Orphée et Eurydice, firstFrenchPremiereLocation, Paris]
  • A. firstPerformanceFestival
    Indicates the festival at which an entity (such as a work or performance) was first publicly performed.
  • B. firstUnveiledInCity
    Indicates that something was publicly revealed, introduced, or debuted for the first time in a particular city.
  • C. firstPerformanceTheatre
    Indicates the theatre where an entity (such as a play or performance) was first performed.
  • D. firstPerformance
    Indicates that an entity marks the initial or debut performance of another entity, such as a work, artist, or production.
  • E. firstPerformanceOpera
    Indicates the relationship in which an opera work is presented in its first-ever performance.
  • F. None of above. chosen

Provenance (5 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_69a886139ed081909af0940aa9313512 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aba644070c81908745b56d981fe273 completed March 7, 2026, 4:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad719f91cc8190aaacaa583098732a completed March 8, 2026, 12:54 p.m.
PD Predicate disambiguation batch_69aa61b57a6881909373af287ef24799 completed March 6, 2026, 5:10 a.m.
PDg Predicate description generation batch_69aba641e6a881909645577e72b53df2 completed March 7, 2026, 4:14 a.m.
Created at: March 4, 2026, 7:29 p.m.