Triple

T19126709
Position Surface form Disambiguated ID Type / Status
Subject Baía de São Marcos E468200 entity
Predicate nearbyCity P350 FINISHED
Object Alcântara, Maranhão 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: Alcântara, Maranhão | Statement: [Baía de São Marcos, nearbyCity, Alcântara, Maranhão]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alcântara, Maranhão
Context triple: [Baía de São Marcos, nearbyCity, Alcântara, Maranhão]
  • A. Camaçari
    Camaçari is an industrial city in the state of Bahia, Brazil, known for hosting one of the largest petrochemical complexes in the Southern Hemisphere.
  • B. Alcântara
    Alcântara is a riverside district in western Lisbon, Portugal, known for its historic docks, the LX Factory creative hub, and views of the 25 de Abril Bridge.
  • C. Alcântara chosen
    Alcântara is a historic coastal municipality in the Brazilian state of Maranhão, known for its preserved colonial architecture and proximity to the Alcântara Launch Center.
  • D. Morada Nova
    Morada Nova is a municipality in the state of Ceará in northeastern Brazil, known for its agricultural activities and semi-arid landscape.
  • E. Pinheiral
    Pinheiral is a small municipality in the state of Rio de Janeiro, Brazil, known for its rural character and growing role as a regional educational and residential center.
  • 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_69d8dd0796a48190b34ce4cd9d3f3be5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e3cd851081909d5665b362ae08de completed April 20, 2026, 8:29 a.m.
Created at: April 10, 2026, 12:05 p.m.