Triple
T34786555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Miami River |
E1002826
|
entity |
| Predicate | typeOfCargoPort |
P45226
|
FINISHED |
| Object | river port |
—
|
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: river port | Statement: [Port of Miami River, typeOfCargoPort, river port]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfCargoPort Context triple: [Port of Miami River, typeOfCargoPort, river port]
-
A.
mainCargo
Indicates that one entity serves as the primary or principal cargo carried or transported by another entity.
-
B.
typeOfHaulage
Indicates the kind or category of haulage service or transport operation associated with an entity.
-
C.
typeOfPortFacility
chosen
Indicates that one port facility is classified as a specific type or category of port facility in relation to another.
-
D.
freightType
Indicates the category or mode of freight associated with a shipment or transport activity.
-
E.
cargoHoldType
Indicates the specific type or classification of a cargo hold associated with an entity.
- 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_69f76db47d408190a24fc7164439ea2d |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a016cc5abcc8190b64094c777b40f6f |
completed | May 11, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_6a016b997ecc8190818207c57b9cbf17 |
completed | May 11, 2026, 5:39 a.m. |
Created at: May 3, 2026, 3:59 p.m.