Triple

T20264759
Position Surface form Disambiguated ID Type / Status
Subject Porto Velho E498934 entity
Predicate hasRiverPort P18124 FINISHED
Object Port of Porto Velho NE NERFINISHED

How this triple was built (3 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 Porto Velho | Statement: [Porto Velho, hasRiverPort, Port of Porto Velho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Porto Velho
Context triple: [Porto Velho, hasRiverPort, Port of Porto Velho]
  • A. Port of Manaus
    The Port of Manaus is a major inland river port in Brazil that serves as a key commercial and logistical hub for the Amazon region.
  • B. 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.
  • C. Paraná River port
    The Paraná River port is a key inland river harbor and logistics hub along the Paraná River, serving regional trade and transportation for cities such as Corrientes in northeastern Argentina.
  • D. 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.
  • E. Port of Santarém
    The Port of Santarém is a Brazilian river port on the Amazon that serves as a key regional hub for cargo transport and trade in the state of Pará.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Port of Porto Velho
Target entity description: The Port of Porto Velho is a key inland river port in Brazil that serves as a major logistics and transportation hub for cargo moving along the Madeira River and connecting the Amazon region to national and international markets.
  • A. Port of Manaus
    The Port of Manaus is a major inland river port in Brazil that serves as a key commercial and logistical hub for the Amazon region.
  • B. 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.
  • C. Paraná River port
    The Paraná River port is a key inland river harbor and logistics hub along the Paraná River, serving regional trade and transportation for cities such as Corrientes in northeastern Argentina.
  • D. 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.
  • E. Port of Santarém
    The Port of Santarém is a Brazilian river port on the Amazon that serves as a key regional hub for cargo transport and trade in the state of Pará.
  • F. None of above. chosen

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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e674ce27688190b31d7a6c98d3ec5e completed April 20, 2026, 6:47 p.m.
Created at: April 11, 2026, 11:41 p.m.