Triple
T31695429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santos Port Authority |
E808904
|
entity |
| Predicate | handlesCargoAt |
P99377
|
FINISHED |
| Object | Port of Santos |
—
|
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 Santos | Statement: [Santos Port Authority, handlesCargoAt, Port of Santos]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: handlesCargoAt Context triple: [Santos Port Authority, handlesCargoAt, Port of Santos]
-
A.
receivesCargoFrom
Indicates that one entity obtains or is delivered cargo from another entity.
-
B.
hasCargoHandlingMode
Indicates the method or procedure by which cargo is handled, loaded, or unloaded in a given context.
-
C.
hasCargoTerminal
Indicates that a location or facility includes or is equipped with a cargo terminal for handling freight.
-
D.
handlesCargoTraffic
chosen
Indicates that an entity is responsible for managing or processing the movement of cargo traffic.
-
E.
hasCargoRole
Indicates that an entity participates in a cargo-related capacity or function within a transport, shipment, or logistics context.
- 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_69f6f8565134819096aac0175f924a9f |
completed | May 3, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f6f65fd1d08190b88e5e68ba268500 |
completed | May 3, 2026, 7:16 a.m. |
Created at: April 30, 2026, 11:10 p.m.