Triple
T799592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port Jersey Marine Terminal |
E17098
|
entity |
| Predicate | transportModeSupported |
P1379
|
FINISHED |
| Object | maritime freight |
—
|
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: maritime freight | Statement: [Port Jersey Marine Terminal, transportModeSupported, maritime freight]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transportModeSupported Context triple: [Port Jersey Marine Terminal, transportModeSupported, maritime freight]
-
A.
transportType
chosen
Indicates the mode or means of transportation used in carrying something or someone from one place to another.
-
B.
hasTransportRoute
Indicates that there exists a designated transportation connection or route linking one entity to another.
-
C.
transportationServedBy
Indicates that a transportation facility, route, or area is provided service or coverage by a specific transportation provider or mode.
-
D.
transports
Indicates that one entity carries or conveys another entity from one place to another.
-
E.
transportationFunction
Indicates that one entity serves to move or carry another entity from one place to another.
- 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_69a49378b9c48190adbf5f62e5b7aca1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a7cb26dc8190bdd3a278b8695873 |
completed | March 1, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69a4a5122a008190b0c621b7bc588d41 |
completed | March 1, 2026, 8:44 p.m. |
Created at: March 1, 2026, 7:38 p.m.