Triple

T21074175
Position Surface form Disambiguated ID Type / Status
Subject Ariano Suassuna E519188 entity
Predicate placeOfBirth P1 FINISHED
Object Paraíba 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: Paraíba | Statement: [Ariano Suassuna, placeOfBirth, Paraíba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paraíba
Context triple: [Ariano Suassuna, placeOfBirth, Paraíba]
  • A. Paraíba chosen
    Paraíba is a state in northeastern Brazil known for its Atlantic coastline, colonial history, and capital city João Pessoa.
  • B. Alagoas
    Alagoas is a small coastal state in northeastern Brazil known for its picturesque beaches, lagoons, and colonial-era history.
  • C. Pernambuco
    Pernambuco is a northeastern Brazilian state known for its historic capital Recife, rich colonial and Afro-Brazilian cultural heritage, and significant role in Brazil’s sugarcane economy.
  • D. Sergipe
    Sergipe is a small coastal state in northeastern Brazil known for its Atlantic shoreline, colonial history, and role in the broader Dutch and Portuguese colonial era.
  • E. Piauí
    Piauí is a state in northeastern Brazil known for its semi-arid landscapes, short Atlantic coastline, and rich archaeological sites such as those in Serra da Capivara National Park.
  • 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_69e0b506e59c8190849b71ed07929215 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e702d5ae908190ab5303e39443d729 completed April 21, 2026, 4:53 a.m.
Created at: April 16, 2026, 2:48 p.m.