Triple
T18628122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BR-277 |
E455335
|
entity |
| Predicate | connectsToPort |
P845
|
FINISHED |
| Object | Port of Paranaguá |
—
|
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: Port of Paranaguá | Statement: [BR-277, connectsToPort, Port of Paranaguá]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port of Paranaguá Context triple: [BR-277, connectsToPort, Port of Paranaguá]
-
A.
Port of Paranaguá
chosen
The Port of Paranaguá is one of Brazil’s largest and busiest seaports, serving as a major hub for agricultural exports and international trade in the southern region of the country.
-
B.
Port of Itajaí
The Port of Itajaí is one of Brazil’s main maritime hubs, especially important for container shipping and regional trade in the southern state of Santa Catarina.
-
C.
Port of Santos
The Port of Santos is Brazil’s largest and busiest seaport, serving as a key hub for international trade and cargo movement in South America.
-
D.
Port of Mar del Plata
The Port of Mar del Plata is a major Argentine Atlantic seaport and fishing harbor serving the city of Mar del Plata in Buenos Aires Province.
-
E.
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.
- 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54f063a1c819087e544c64f5cf80f |
completed | April 19, 2026, 9:54 p.m. |
Created at: April 10, 2026, 11:46 a.m.