Triple

T21652118
Position Surface form Disambiguated ID Type / Status
Subject Correios E534363 entity
Predicate shortName P43 FINISHED
Object Correios 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: Correios | Statement: [Correios, shortName, Correios]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Correios
Context triple: [Correios, shortName, Correios]
  • A. Correios (Brazilian postal service) chosen
    Correios (Brazilian postal service) is Brazil’s national postal operator, responsible for mail delivery, logistics, and related services across the country.
  • B. Correos de México
    Correos de México is Mexico’s national postal service, responsible for mail and parcel delivery across the country.
  • C. China Post
    China Post is the state-owned postal service of the People's Republic of China, providing nationwide mail, logistics, and related financial services.
  • D. Prumo Logística
    Prumo Logística is a Brazilian infrastructure and logistics company best known for developing and operating the Port of Açu, one of Latin America’s largest private port-industrial complexes.
  • E. Bosta
    Bosta is a coastal area on the Isle of Lewis in Scotland, best known for its reconstructed Iron Age house and archaeological remains revealed by shifting sands.
  • 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_69e0c466aec88190ba39c7543dbc8ba2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef591594a08190bf0ddd0a0c0922ba completed April 27, 2026, 12:39 p.m.
Created at: April 16, 2026, 6:36 p.m.