Triple
T31695427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santos Port Authority |
E808904
|
entity |
| Predicate | portClassificationManaged |
P170822
|
FINISHED |
| Object | largest port in Latin America |
—
|
LITERAL 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: largest port in Latin America | Statement: [Santos Port Authority, portClassificationManaged, largest port in Latin America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portClassificationManaged Context triple: [Santos Port Authority, portClassificationManaged, largest port in Latin America]
-
A.
portManagedBy
Indicates that the operation, administration, or control of a port is carried out by a specified managing entity.
-
B.
portCategory
chosen
Indicates the classification or type assigned to a port based on its function, usage, or characteristics.
-
C.
classificationTypeManaged
Indicates that the classification type is controlled or administered through a managed process or system rather than being assigned freely or ad hoc.
-
D.
typeOfPortsManaged
Indicates the kinds of ports that an entity is responsible for managing or overseeing.
-
E.
stationTypeManaged
Indicates that one entity is responsible for managing or operating a particular type of station.
- F. None of above.
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_69f348ddcbc48190950cabcc25ff29b3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6aaf50be08190a2b62a6d881f8aee |
completed | May 3, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69f6aa20a1588190a53533fc9764efb2 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 30, 2026, 11:10 p.m.