Triple

T9835367
Position Surface form Disambiguated ID Type / Status
Subject Região Norte Fluminense E239085 entity
Predicate hasPort P35 FINISHED
Object Port of Açu E245150 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: Port of Açu | Statement: [Região Norte Fluminense, hasPort, Port of Açu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Açu
Context triple: [Região Norte Fluminense, hasPort, Port of Açu]
  • A. Port of Açu chosen
    Port of Açu is a large private industrial port complex in São João da Barra, Brazil, serving as a major hub for oil, mining, and logistics operations.
  • B. Port of Mucuripe
    The Port of Mucuripe is the main seaport of Fortaleza in northeastern Brazil, serving as a key hub for cargo and passenger maritime traffic in the region.
  • C. Port of Pecém
    The Port of Pecém is a major deep-water industrial and cargo port complex in northeastern Brazil that serves as a key hub for international trade and regional economic development in the state of Ceará.
  • D. Port of Corumbá
    The Port of Corumbá is a river port in Brazil’s Mato Grosso do Sul state that serves as a key hub for regional trade and navigation along the Paraguay River.
  • E. Port of Belém
    The Port of Belém is a major Brazilian river-sea port in the Amazon region, serving as a key hub for regional trade and passenger transport near the mouth of the Amazon River.
  • 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_69ca84e314108190978324a4bdb959f8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb339aa1c8190901d8e660cef49c5 completed April 2, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5c8f1a48190a4e7b6cda8ee88d5 completed April 5, 2026, 3:23 a.m.
Created at: March 30, 2026, 8:33 p.m.