Triple
T28173868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North America and Africa |
E715534
|
entity |
| Predicate | linkedByMajorPortsIn |
P148654
|
FINISHED |
| Object | United States |
—
|
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: United States | Statement: [North America and Africa, linkedByMajorPortsIn, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linkedByMajorPortsIn Context triple: [North America and Africa, linkedByMajorPortsIn, United States]
-
A.
haveMajorPortsAndHinterlandLinks
chosen
Indicates that there exist significant seaports and the associated inland transport connections or logistical networks that link those ports to their surrounding regions.
-
B.
linkedToInlandPort
Indicates a relationship where something has a direct connection or association with an inland port, such as for transport, logistics, or access purposes.
-
C.
linkedToPort
Indicates that one entity is connected or associated with a specific port, such as a network, hardware, or interface port.
-
D.
associatedWithPorts
Indicates that there is a connection or involvement between an entity and one or more ports, such as using, serving, or being linked to those ports.
-
E.
hasMajorRailLinksTo
Indicates that there are significant railway connections or routes between two locations.
- 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_69efd6b340f0819095680e15dcdc1830 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f757898fe48190b124dc7301672623 |
completed | May 3, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69f754c484348190948d2a04ff228fb1 |
completed | May 3, 2026, 1:59 p.m. |
Created at: April 27, 2026, 10:14 p.m.