Triple

T23224134
Position Surface form Disambiguated ID Type / Status
Subject Piaçabuçu E580972 entity
Predicate partOf P40 FINISHED
Object state of Alagoas 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: state of Alagoas | Statement: [Piaçabuçu, partOf, state of Alagoas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: state of Alagoas
Context triple: [Piaçabuçu, partOf, state of Alagoas]
  • A. Alagoas chosen
    Alagoas is a small coastal state in northeastern Brazil known for its picturesque beaches, lagoons, and colonial-era history.
  • B. State of Maranhão
    The State of Maranhão was a colonial administrative division of the Portuguese Empire in South America, encompassing parts of what is now northern Brazil.
  • C. Agreste region of Alagoas
    The Agreste region of Alagoas is a semi-arid transitional zone in the Brazilian state of Alagoas, characterized by mixed agricultural activity and medium-sized inland towns such as Palmeira dos Índios.
  • D. state of Pará
    The state of Pará is a large, resource-rich state in northern Brazil, known for its vast Amazon rainforest areas, major rivers like the Amazon and Tocantins, and the capital city of Belém.
  • E. Aragua state
    Aragua state is a central Venezuelan state known for its capital city Maracay, industrial activity, and diverse landscapes that include coastal areas and national parks.
  • 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_69e246043c48819089bae72c9a9c306c completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f1922b4a348190ae570a869e30059f completed April 29, 2026, 5:07 a.m.
Created at: April 17, 2026, 4:08 p.m.