Triple
T12791767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Miami River terminals |
E305782
|
entity |
| Predicate | primaryTradeDirection |
P13659
|
FINISHED |
| Object | north–south trade |
—
|
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: north–south trade | Statement: [Port of Miami River terminals, primaryTradeDirection, north–south trade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryTradeDirection Context triple: [Port of Miami River terminals, primaryTradeDirection, north–south trade]
-
A.
primaryTrade
Indicates that the referenced activity or exchange is the main or most significant trade relationship associated with the entities involved.
-
B.
primaryDirection
chosen
Indicates the main or dominant directional orientation associated with an entity or relation.
-
C.
isTradeOriented
Indicates that an entity is primarily focused on commercial exchange, market activities, or trade-related objectives in its operations or behavior.
-
D.
majorTradeType
Indicates the primary category or kind of trade activity that characterizes the relationship between the involved entities.
-
E.
primaryCargoDirection
Indicates the main directional flow or orientation in which the primary cargo is being transported or moved.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e6b55248190ab938e69eb263612 |
completed | April 10, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69d9640ba0688190973e4e7ec8d4a8e0 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:30 p.m.