Triple

T2341700
Position Surface form Disambiguated ID Type / Status
Subject Napoleon Bonaparte E45039 entity
Predicate attendedSchoolIn P23183 FINISHED
Object Brienne-le-Château E45039 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: Brienne-le-Château | Statement: [Napoleon Bonaparte, attendedSchoolIn, Brienne-le-Château]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brienne-le-Château
Context triple: [Napoleon Bonaparte, attendedSchoolIn, Brienne-le-Château]
  • A. Brienne-le-Château chosen
    Brienne-le-Château is a commune in northeastern France best known as the town where Napoleon Bonaparte attended military school in his youth.
  • B. Château de Brienne
    Château de Brienne is a historic French castle in the town of Brienne-le-Château, notably associated with Napoleon Bonaparte’s early military education.
  • C. Langeac
    Langeac is a small commune in south-central France, situated in the Haute-Loire department within the Auvergne-Rhône-Alpes region.
  • D. Cour Carrée
    Cour Carrée is the large, historic square courtyard at the eastern end of the Louvre in Paris, surrounded by classical palace façades that reflect the museum’s origins as a royal residence.
  • E. Castelroussin
    Castelroussin is the French demonym for an inhabitant of the city of Châteauroux in central 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: attendedSchoolIn
Context triple: [Napoleon Bonaparte, attendedSchoolIn, Brienne-le-Château]
  • A. schoolAttended chosen
    Indicates that one entity has attended, or been enrolled as a student at, the school represented by the other entity.
  • B. hasSchool
    Indicates that an entity possesses, is associated with, or is served by a particular school.
  • C. alsoAttendedSchool
    Indicates that two or more entities attended the same school in addition to any other schools they may have attended.
  • D. hasSchoolCategory
    Indicates that an entity (such as a school or educational institution) is associated with a particular category or type of school.
  • E. school
    Indicates that an entity attends, is enrolled in, or is institutionally associated as a student with a particular school.
  • 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_69a88917935081909b755dbf38e81024 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abcade3c808190ab3803538ccbe620 completed March 7, 2026, 6:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea88113988190b89abfc01f5bf6f4 completed March 9, 2026, 11:01 a.m.
PD Predicate disambiguation batch_69abc59616a8819099711834e6f1ccd6 completed March 7, 2026, 6:28 a.m.
Created at: March 4, 2026, 7:52 p.m.