Triple
T23498430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Corumbá |
E571766
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Port of Ladário |
—
|
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 Ladário | Statement: [Port of Corumbá, relatedTo, Port of Ladário]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port of Ladário Context triple: [Port of Corumbá, relatedTo, Port of Ladário]
-
A.
Port of Corumbá
chosen
The Port of Corumbá is a river port in Brazil’s Mato Grosso do Sul state that serves as a key hub for regional trade and navigation along the Paraguay River.
-
B.
Port of Imbetiba
The Port of Imbetiba is a coastal port facility in Macaé, Brazil, historically important for regional trade and now closely linked to the offshore oil and gas industry.
-
C.
Port of Belém
The Port of Belém is a major Brazilian river-sea port in the Amazon region, serving as a key hub for regional trade and passenger transport near the mouth of the Amazon River.
-
D.
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.
-
E.
Port of Mucuripe
The Port of Mucuripe is the main seaport of Fortaleza in northeastern Brazil, serving as a key hub for cargo and passenger maritime traffic in the region.
- 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_69e245b4829881909b77a70e942bbd54 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a7e184ec8190aff3677c9b00a8f2 |
completed | April 29, 2026, 6:40 a.m. |
Created at: April 17, 2026, 6:06 p.m.