Triple

T10288247
Position Surface form Disambiguated ID Type / Status
Subject Marta E241291 entity
Predicate hasVariant P455 FINISHED
Object Marta (with accent marks in some languages)? E243815 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: Marta (with accent marks in some languages)? | Statement: [Marta, hasVariant, Marta (with accent marks in some languages)?]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marta (with accent marks in some languages)?
Context triple: [Marta, hasVariant, Marta (with accent marks in some languages)?]
  • A. Marta (Spanish)
    Marta is the Spanish given name equivalent to Martha, commonly used in Spanish-speaking countries.
  • B. Marta (Polish)
    Marta is a common Polish female given name, equivalent to Martha, traditionally associated with Christian and European naming traditions.
  • C. Marta (Czech)
    Marta is the Czech form of the female given name Martha, commonly used in Czech-speaking countries.
  • D. Marta (Scandinavian languages)
    Marta is the Scandinavian form of the female given name Martha, commonly used in countries such as Sweden, Norway, and Denmark.
  • E. Marta chosen
    Marta is a feminine given name commonly used in many European and Latin American countries, often considered a variant of the name Martha.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2b9d76c8190b1ef6ecf4c1a2a09 completed April 7, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f8556f4081908390bc5c14dcf560 completed April 9, 2026, 12:52 a.m.
Created at: April 6, 2026, 11:41 a.m.