Triple

T3807735
Position Surface form Disambiguated ID Type / Status
Subject Joseph Bonaparte E93049 entity
Predicate placeOfBirth P1 FINISHED
Object Corte, Corsica E96268 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: Corte, Corsica | Statement: [Joseph Bonaparte, placeOfBirth, Corte, Corsica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Corte, Corsica
Context triple: [Joseph Bonaparte, placeOfBirth, Corte, Corsica]
  • A. Corsica
    Corsica is a mountainous Mediterranean island and French territorial collectivity known for its distinct culture, rugged coastline, and as the birthplace of Napoleon Bonaparte.
  • B. Femu a Corsica
    Femu a Corsica is a Corsican political party that advocates for greater autonomy and the protection of Corsican identity and culture within France.
  • C. Louletano
    Louletano is the Portuguese demonym used to refer to people or things originating from the city of Loulé in the Algarve region.
  • D. Haute-Corse chosen
    Haute-Corse is a department in the northern part of the French Mediterranean island of Corsica, known for its mountainous landscapes, historic hilltop villages, and scenic coastline.
  • E. Corse-du-Sud
    Corse-du-Sud is a department in southern Corsica, France, known for its rugged mountains, picturesque coastal towns, and popular tourist destinations such as Ajaccio and Bonifacio.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69aed96a60088190ab1df8390fffc935 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aee80b02888190b2d778feef14f576 completed March 9, 2026, 3:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c2db6a481909ebc822a1d3f831f completed March 14, 2026, 11:53 a.m.
Created at: March 9, 2026, 3:16 p.m.