Triple

T19823930
Position Surface form Disambiguated ID Type / Status
Subject Corina E476268 entity
Predicate hasVariant P455 FINISHED
Object Corine NE NERFINISHED

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: Corine | Statement: [Corina, hasVariant, Corine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Corine
Context triple: [Corina, hasVariant, Corine]
  • A. Corine chosen
    Corine is a feminine given name used in various European countries, often considered a variant of "Corinne."
  • B. Blinoise
    Blinoise is the term used to refer to inhabitants or natives of the place called Blain.
  • C. Gochenée
    Gochenée is a small village in Wallonia, Belgium, known primarily as the birthplace of the 19th-century architect Alphonse Balat.
  • D. Guichen
    Guichen was a French admiral, Luc Urbain de Bouëxic, comte de Guichen, noted for commanding French naval forces during the American Revolutionary War.
  • E. Écône
    Écône is a small village in the Swiss canton of Valais best known as the headquarters and principal seminary site of the traditionalist Catholic Society of Saint Pius X.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51c7c188190b926f3a2a7b5f881 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6550070c4819099e1f057b9a8849e completed April 20, 2026, 4:32 p.m.
Created at: April 10, 2026, 1:50 p.m.