Triple

T2001709
Position Surface form Disambiguated ID Type / Status
Subject Vandal Kingdom E43484 entity
Predicate hasPart P35 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: [Vandal Kingdom, hasPart, Corsica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Corsica
Context triple: [Vandal Kingdom, hasPart, 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_69a88715dbbc8190b2299e29e955d997 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb880c710819098fb877052ce56dc completed March 7, 2026, 5:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2707c074819095f932a67f7b5fb9 completed March 9, 2026, 1:48 a.m.
Created at: March 4, 2026, 7:37 p.m.