Triple

T11702572
Position Surface form Disambiguated ID Type / Status
Subject Teutônia E278160 entity
Predicate hasPostalCodeSystem P7766 FINISHED
Object Brazilian CEP E558873 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: Brazilian CEP | Statement: [Teutônia, hasPostalCodeSystem, Brazilian CEP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brazilian CEP
Context triple: [Teutônia, hasPostalCodeSystem, Brazilian CEP]
  • A. CEP (Brazilian postal code system) chosen
    CEP is Brazil’s national postal code system, used to identify specific locations and streamline mail delivery across the country.
  • B. ISO 3166-2:BR
    ISO 3166-2:BR is the section of the ISO 3166-2 standard that defines the official subdivision codes for the states and federal units of Brazil.
  • C. Correios (Brazilian postal service)
    Correios (Brazilian postal service) is Brazil’s national postal operator, responsible for mail delivery, logistics, and related services across the country.
  • D. BR-MG
    BR-MG is the ISO 3166-2 code that designates the Brazilian state of Minas Gerais.
  • E. CPF
    CPF is the abbreviation for the Permanent Council of La Francophonie, the main executive body overseeing the implementation of policies and decisions within the international Francophone community.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a49b1080819096593733ee48a187 completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef83525ae081909ee6f3fbb5d37dd7 completed April 27, 2026, 3:40 p.m.
Created at: April 8, 2026, 9:40 p.m.