Triple

T23316291
Position Surface form Disambiguated ID Type / Status
Subject Frank País E590715 entity
Predicate familyName P18 FINISHED
Object País 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: País | Statement: [Frank País, familyName, País]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: País
Context triple: [Frank País, familyName, País]
  • A. Pais chosen
    Pais is a surname most notably associated with Abraham Pais, a Dutch-American physicist and science historian known for his influential biographies of Albert Einstein and other physicists.
  • B. Pais
    País is a historic red wine grape variety, originally brought to the Americas by Spanish colonists, that produces light, rustic wines and is especially associated with Chile.
  • C. Paisaci
    Paisaci is an ancient Middle Indo-Aryan language or dialect, traditionally associated with lost or fragmentary literary works and often mentioned in classical Indian linguistic and literary traditions.
  • D. Portoviejo
    Portoviejo is a city in western Ecuador that serves as the capital of Manabí Province and an important regional commercial and administrative center.
  • E. Länder
    Länder are the individual federal states that make up the Federal Republic of Germany, each with its own government and significant legislative powers.
  • 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_69e25d1d32188190948eb76909d1dcc3 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f197816024819086c547ba89f84286 completed April 29, 2026, 5:30 a.m.
Created at: April 17, 2026, 5:06 p.m.