Triple

T16979602
Position Surface form Disambiguated ID Type / Status
Subject Josefa Ortiz de Domínguez E411909 entity
Predicate givenName P17 FINISHED
Object Josefa E91111 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: Josefa | Statement: [Josefa Ortiz de Domínguez, givenName, Josefa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Josefa
Context triple: [Josefa Ortiz de Domínguez, givenName, Josefa]
  • A. Josefa chosen
    Josefa is a feminine given name of Spanish origin, historically borne by notable figures such as Mexican independence heroine Josefa Ortiz de Domínguez.
  • B. Josefina
    Josefina is a feminine given name of Spanish origin commonly used in various Spanish-speaking countries.
  • C. Josepha
    Josepha is the given name of Maria Josepha Amalia of Saxony, a 19th-century Saxon princess who became Queen consort of Spain as the third wife of King Ferdinand VII.
  • D. Francisca
    Francisca is a feminine given name, used in various European and Latin American cultures, that is cognate with the English name Frances.
  • E. Manuela
    Manuela is the given name of Maria Manuela, a 16th-century Portuguese princess who became Queen of Castile through marriage to King Philip II of Spain.
  • 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d1866bf48190a0ea15c377bf782c completed April 18, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012eccd1e48190aa0dc64562d6ff1f completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:32 a.m.