Triple
T12607625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Kingdom–San Francisco grain trade |
E301024
|
entity |
| Predicate | typicalReturnCargo |
P105673
|
FINISHED |
| Object | ballast or manufactured goods |
—
|
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: ballast or manufactured goods | Statement: [United Kingdom–San Francisco grain trade, typicalReturnCargo, ballast or manufactured goods]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalReturnCargo Context triple: [United Kingdom–San Francisco grain trade, typicalReturnCargo, ballast or manufactured goods]
-
A.
mainCargo
Indicates that one entity serves as the primary or principal cargo carried or transported by another entity.
-
B.
returnCargoMass
Indicates the mass of cargo that is brought back or returned from a mission, trip, or transport operation.
-
C.
commonlyTransportedIn
Indicates that something is usually carried, moved, or conveyed using a particular vehicle, container, or mode of transport.
-
D.
militaryCargoOnBoard
Indicates that a vehicle, vessel, or aircraft is currently carrying military-related cargo on board.
-
E.
supportsCargoType
Indicates that one entity is capable of handling, transporting, or accommodating a specified type of cargo.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9559458dc8190bc4d6e697e99d70e |
completed | April 10, 2026, 7:55 p.m. |
| PD | Predicate disambiguation | batch_69d9541894fc8190a0c3706a414279f0 |
completed | April 10, 2026, 7:48 p.m. |
| PDg | Predicate description generation | batch_69d95590a5e08190842b988531cf2921 |
completed | April 10, 2026, 7:54 p.m. |
Created at: April 9, 2026, 5:11 p.m.