Triple
T12084383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Itajaí |
E287768
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Port of Itajaí |
E949646
|
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: Port of Itajaí | Statement: [Itajaí, hasPort, Port of Itajaí]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port of Itajaí Context triple: [Itajaí, hasPort, Port of Itajaí]
-
A.
Port of Itajaí
chosen
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.
-
B.
Port of Paranaguá
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.
-
C.
Port of Tubarão
The Port of Tubarão is a major Brazilian deep-water seaport and iron ore export terminal located near Vitória on the Atlantic coast.
-
D.
Port of Itaguaí
The Port of Itaguaí is a major Brazilian seaport and industrial hub located in the metropolitan area of Rio de Janeiro, serving as a key gateway for bulk cargo and mineral exports.
-
E.
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.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91513bbb0819084a8bb877e03060c |
completed | April 10, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f666bf1c819089de1235617e775b |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:48 p.m.