Triple

T4038993
Position Surface form Disambiguated ID Type / Status
Subject Francesca E83896 entity
Predicate equivalentName P6530 FINISHED
Object Francisca in Spanish E88236 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: Francisca in Spanish | Statement: [Francesca, equivalentName, Francisca in Spanish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Francisca in Spanish
Context triple: [Francesca, equivalentName, Francisca in Spanish]
  • A. Francisca chosen
    Francisca is a feminine given name, used in various European and Latin American cultures, that is cognate with the English name Frances.
  • B. Marta (Spanish)
    Marta is the Spanish given name equivalent to Martha, commonly used in Spanish-speaking countries.
  • C. Francisca Subirana
    Francisca Subirana was the wife of Cuban-born inventor, diplomat, and philanthropist Ricardo Wolf.
  • D. Francisca González Mateos
    Francisca González Mateos was a Spanish woman of the late 15th and early 16th centuries best known as the mother of conquistador Francisco Pizarro.
  • E. Molinero (Spanish)
    Molinero is a Spanish occupational surname meaning "miller," equivalent to the German surname Müller (Mueller).
  • 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_69aed92f7cf0819098e0539bdcc3767f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb37e24c81908d6357ab8ba5388d completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b55646e5d881909eadd0640a4f1796 completed March 14, 2026, 12:36 p.m.
Created at: March 9, 2026, 3:37 p.m.