Triple

T20379492
Position Surface form Disambiguated ID Type / Status
Subject Cassia E497783 entity
Predicate hasVariantSpelling P457 FINISHED
Object Cássia 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: Cássia | Statement: [Cassia, hasVariantSpelling, Cássia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cássia
Context triple: [Cassia, hasVariantSpelling, Cássia]
  • A. Cássia chosen
    Cássia is a given name commonly used in Portuguese-speaking countries, often associated with women and derived from the Latin name Cassia.
  • B. Cleuza
    Cleuza is a central character in the Brazilian film "Linha de Passe," portrayed as a struggling single mother raising her sons in the outskirts of São Paulo.
  • C. Carriço
    Carriço is a civil parish within the municipality of Pombal in central Portugal, known for its rural character and local community life.
  • D. Conceição
    Conceição is a civil parish located on Faial Island in the Azores archipelago of Portugal.
  • E. Itabaiana
    Itabaiana is a prominent inland city in the Brazilian state of Sergipe, known for its vibrant commerce, agricultural production, and strategic location as a regional hub.
  • 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_69e0b4a5b7908190a972e4e7e698ae94 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e678af651c8190b4922294a937e699 completed April 20, 2026, 7:04 p.m.
Created at: April 16, 2026, 11:27 a.m.