Triple

T15261015
Position Surface form Disambiguated ID Type / Status
Subject Kauto Star E364773 entity
Predicate bredIn P19710 FINISHED
Object France E861 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: France | Statement: [Kauto Star, bredIn, France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: France
Context triple: [Kauto Star, bredIn, France]
  • A. France chosen
    France is a major Western European nation known for its influential history, culture, and economy, and as a founding member of the European Union and the United Nations.
  • B. La France
    La France is a renowned sculpture by French artist Antoine Bourdelle that powerfully symbolizes the spirit and identity of France.
  • C. Francia
    Francia is the surname of American rower and two-time Olympic gold medalist Susan Francia.
  • D. Pays Royannais
    Pays Royannais is a coastal area in southwestern France centered around the town of Royan, known for its seaside resorts and Atlantic beaches.
  • E. de France
    "de France" is a dynastic surname historically used by members of the French royal family, particularly the legitimate children of reigning kings of France.
  • 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: bredIn
Context triple: [Kauto Star, bredIn, France]
  • A. bredWith
    Indicates that one entity has been used to reproduce or mate with another entity, typically for the purpose of producing offspring.
  • B. breed
    Indicates that an organism reproduces to generate offspring, typically with another organism of the same species.
  • C. breedsIn chosen
    Indicates that an organism reproduces or carries out its breeding activities within a specified environment, habitat, or location.
  • D. madeFromBreed
    Indicates that something is produced or derived using a particular breed as its source or primary constituent.
  • E. breedingTrait
    Indicates that an entity possesses a heritable characteristic that is relevant or targeted in a breeding process or program.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0084e85a08190b8e63598b9f6a535 completed April 15, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5e9e2d8819086ca62ca6037dd1c completed May 9, 2026, 7:44 a.m.
PD Predicate disambiguation batch_69deca8d1bd48190a4b94f29b425e335 completed April 14, 2026, 11:15 p.m.
Created at: April 10, 2026, 3:14 a.m.