Triple

T22779892
Position Surface form Disambiguated ID Type / Status
Subject Government of the State of Paraíba E563806 entity
Predicate capital P234 FINISHED
Object João Pessoa 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: João Pessoa | Statement: [Government of the State of Paraíba, capital, João Pessoa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: João Pessoa
Context triple: [Government of the State of Paraíba, capital, João Pessoa]
  • A. João Pessoa chosen
    João Pessoa is the capital and largest city of the Brazilian state of Paraíba, known for its historic colonial architecture and easternmost location in the Americas.
  • B. Campina Grande
    Campina Grande is a major city in northeastern Brazil known for its technology and education hubs and for hosting one of the world’s largest São João (June) festivals.
  • C. Recife
    Recife is a major coastal city in northeastern Brazil known for its historic colonial architecture, extensive waterways, and role as an important cultural and economic center.
  • D. Porto-Novo
    Porto-Novo is the official capital city of Benin, known for its colonial architecture and role as a political and cultural center in West Africa.
  • E. Maceió
    Maceió is a coastal city in northeastern Brazil known for its white-sand beaches, turquoise waters, and vibrant tourism industry.
  • 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_69e24554497c819080b996e071de27c2 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17b63d348819085668e3d9ac78ffa completed April 29, 2026, 3:30 a.m.
Created at: April 17, 2026, 3:28 p.m.