Triple

T37581349
Position Surface form Disambiguated ID Type / Status
Subject Rodogune (stage role) E934973 entity
Predicate countryOfProminentProduction P129303 FINISHED
Object France E861 NE 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: France | Statement: [Rodogune (stage role), countryOfProminentProduction, France]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: countryOfProminentProduction
Context triple: [Rodogune (stage role), countryOfProminentProduction, France]
  • A. isMajorProducerOf
    Indicates that an entity plays a leading or highly significant role in producing or supplying a particular product, resource, or output.
  • B. isProducedIn
    Indicates that something is created, manufactured, or generated within a particular place, context, or process.
  • C. productionCountries chosen
    Indicates the countries where a work (such as a film or TV show) was produced or financed.
  • D. majorProducerRegion
    Indicates that a region is a primary or significant producer of a particular product, resource, or commodity.
  • E. originallyProducedIn
    Indicates that something was first created, manufactured, or brought into existence in a particular place or location.
  • 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_69f76ece61dc8190a0ab33f8d87d0a7e completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_6a037c8efcd4819088c2aeead65d93df completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40a7f1b98881908bda610d39b493ed completed June 28, 2026, 4:49 a.m.
PD Predicate disambiguation batch_6a037a1553e08190bb7424c448cb1f33 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:17 p.m.