Triple

T20910365
Position Surface form Disambiguated ID Type / Status
Subject Paula Mariana Joana Carlota de Bragança E514923 entity
Predicate givenName P17 FINISHED
Object Carlota 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: Carlota | Statement: [Paula Mariana Joana Carlota de Bragança, givenName, Carlota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carlota
Context triple: [Paula Mariana Joana Carlota de Bragança, givenName, Carlota]
  • A. Carlota chosen
    Carlota is the feminine given name corresponding to Carlos, commonly used in Spanish- and Portuguese-speaking cultures.
  • B. La Carlota
    La Carlota is a component city in the province of Negros Occidental in the Philippines, known for its agricultural economy and historic sugar industry.
  • C. Enriqueta
    Enriqueta is a feminine given name of Spanish origin, often associated with historical and cultural figures in Spanish-speaking countries.
  • D. Borbona
    Borbona is a small Italian town and comune in the Lazio region, known for its rural setting in the Apennine mountains and traditional local culture.
  • E. Cayetana
    Cayetana is the given name of Cayetana Fitz-James Stuart, the 18th Duchess of Alba, a prominent Spanish aristocrat known for holding a record number of noble titles.
  • 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_69e0b4f9d5ec8190bb2bd27350ed341c completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6ec5e3f988190932956119197e3b1 completed April 21, 2026, 3:17 a.m.
Created at: April 16, 2026, 12:48 p.m.