Triple
T31695481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Companhia Docas do Estado de São Paulo |
E808905
|
entity |
| Predicate | operatedLargestPortIn |
P200945
|
FINISHED |
| Object | Brazil |
—
|
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: Brazil | Statement: [Companhia Docas do Estado de São Paulo, operatedLargestPortIn, Brazil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatedLargestPortIn Context triple: [Companhia Docas do Estado de São Paulo, operatedLargestPortIn, Brazil]
-
A.
isAmongLargestPortsIn
Indicates that a port ranks among the largest ports within a specified geographic or administrative area.
-
B.
isLargestSeaportIn
Indicates that one location is the largest seaport within a specified geographic or political region.
-
C.
isLargestSeaportOn
Indicates that a seaport is the largest seaport located on a specified geographic feature, such as a coast, island, or body of water.
-
D.
isLargestFerrySystemIn
Indicates that a ferry system is the largest (by size, capacity, or extent) among all ferry systems operating within a specified geographic area.
-
E.
isLargestPassengerTerminalOf
Indicates that one entity is the largest passenger terminal within or associated with another entity (such as a transport hub or system).
- F. None of above. chosen
Provenance (4 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_69ffbb1c5bf88190a0bf791213045885 |
completed | May 9, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69ffba0ab0f881908f84ef81f7a1bfe8 |
completed | May 9, 2026, 10:49 p.m. |
| PDg | Predicate description generation | batch_69ffbb1b3b888190ba329ad321fc3f3d |
completed | May 9, 2026, 10:54 p.m. |
Created at: April 30, 2026, 11:10 p.m.