Triple

T3035339
Position Surface form Disambiguated ID Type / Status
Subject Ligurian language E82994 entity
Predicate region P40 FINISHED
Object Corsica E16558 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: Corsica | Statement: [Ligurian language, region, Corsica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Corsica
Context triple: [Ligurian language, region, Corsica]
  • A. Corsica chosen
    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. Sardinia
    Sardinia is a large Mediterranean island known for its rugged coastline, ancient Nuragic archaeological sites, and distinct local culture and language.
  • C. Ταϋγέτη
    Ταϋγέτη είναι μία από τις Πλειάδες στην ελληνική μυθολογία, κόρη του Άτλαντα και της Πλειόνης.
  • D. 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.
  • E. 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.
  • 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_69ad8b2298908190a7cb4e9bdbf064d0 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9b2bb60c8190b1721f832f2581a1 completed March 8, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24b160dc08190950beca1a690243b completed March 12, 2026, 5:11 a.m.
Created at: March 8, 2026, 3:01 p.m.