Triple

T10401255
Position Surface form Disambiguated ID Type / Status
Subject Port of Açu E245150 entity
Predicate nearbyCity P350 FINISHED
Object Campos dos Goytacazes E239083 NE FINISHED

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: Campos dos Goytacazes | Statement: [Port of Açu, nearbyCity, Campos dos Goytacazes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Campos dos Goytacazes
Context triple: [Port of Açu, nearbyCity, Campos dos Goytacazes]
  • A. Campos dos Goytacazes chosen
    Campos dos Goytacazes is a large municipality in northern Rio de Janeiro state in Brazil, known for its oil industry, sugarcane production, and role as a regional economic center.
  • B. Vitória de Santo Antão
    Vitória de Santo Antão is a municipality in northeastern Brazil known for its sugarcane-based economy, cachaça production, and colonial-era heritage.
  • C. Maracanaú
    Maracanaú is an industrial and residential city in northeastern Brazil, located in the metropolitan region of Fortaleza in the state of Ceará.
  • D. Parnamirim
    Parnamirim is a rapidly growing city in northeastern Brazil known for its proximity to Natal and its historical role in World War II aviation.
  • E. Gamboa (Rio de Janeiro)
    Gamboa (Rio de Janeiro) is a historic portside neighborhood in Rio de Janeiro known for its role in the city’s early development and proximity to the revitalized waterfront area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9e2f11c8190b30695cba2975544 completed April 7, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fbd13c888190b3a79a9aacb5291e completed April 9, 2026, 7:19 p.m.
Created at: April 6, 2026, 12:07 p.m.