Triple
T22642728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CEP |
E558873
|
entity |
| Predicate | administeredBy |
P86
|
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: [CEP, administeredBy, Correios]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Correios Context triple: [CEP, administeredBy, 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.
CTT Correios de Portugal (Portugal)
CTT Correios de Portugal is Portugal’s national postal service operator, responsible for mail delivery, logistics, and related financial and communication services across the country.
-
C.
Correos de México
Correos de México is Mexico’s national postal service, responsible for mail and parcel delivery across the country.
-
D.
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.
-
E.
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.
- 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_69e24547f7fc819086e2c4ba3b979657 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1703577948190ae044df4f8500bfe |
completed | April 29, 2026, 2:43 a.m. |
Created at: April 17, 2026, 3:04 p.m.