Triple
T3754062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asia–Caribbean shipping routes |
E82001
|
entity |
| Predicate | primaryCargoType |
P5941
|
FINISHED |
| Object | containerized cargo |
—
|
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: containerized cargo | Statement: [Asia–Caribbean shipping routes, primaryCargoType, containerized cargo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryCargoType Context triple: [Asia–Caribbean shipping routes, primaryCargoType, containerized cargo]
-
A.
mainCargo
chosen
Indicates that one entity serves as the primary or principal cargo carried or transported by another entity.
-
B.
cargoLoading
Indicates the action or process of placing cargo onto a vehicle, vessel, or other transport medium for shipment or movement.
-
C.
typeOfMediumship
Indicates a relationship where one entity specifies the particular form or method of mediumship practiced or involved in relation to another entity.
-
D.
primaryRailUse
Indicates the main or predominant purpose for which a rail line, segment, or facility is used (e.g., passenger, freight, or mixed traffic).
-
E.
primaryType
Indicates the main or most fundamental category or classification assigned to an entity, distinguishing it from any secondary or auxiliary types.
- 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_69ad8b1db40081908b61ffa6b78afd4d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb94ffc08190a7fd1ce71a15f787 |
completed | March 8, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69adc04adebc819088d7f36d0ac343a6 |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:35 p.m.