Triple

T4445255
Position Surface form Disambiguated ID Type / Status
Subject Haute-Corse E96268 entity
Predicate borders P224 FINISHED
Object Corse-du-Sud E98749 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: Corse-du-Sud | Statement: [Haute-Corse, borders, Corse-du-Sud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Corse-du-Sud
Context triple: [Haute-Corse, borders, Corse-du-Sud]
  • A. Corse-du-Sud chosen
    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.
  • B. Haute-Corse
    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.
  • C. 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.
  • D. Savoie
    Savoie is a mountainous department in southeastern France, known for its Alpine landscapes, ski resorts, and rich Savoyard cultural heritage.
  • E. Louletano
    Louletano is the Portuguese demonym used to refer to people or things originating from the city of Loulé in the Algarve region.
  • 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_69b345415ba481908df738e7174448ba completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355d00c288190a4f3fec29b5d85b2 completed March 13, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b62818295481909c0ffa377570effc completed March 15, 2026, 3:31 a.m.
Created at: March 12, 2026, 11:32 p.m.