Triple
T24522933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Boma |
E606583
|
entity |
| Predicate | cargoOriginDestination |
P119872
|
FINISHED |
| Object | Democratic Republic of the Congo hinterland |
—
|
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: Democratic Republic of the Congo hinterland | Statement: [Port of Boma, cargoOriginDestination, Democratic Republic of the Congo hinterland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cargoOriginDestination Context triple: [Port of Boma, cargoOriginDestination, Democratic Republic of the Congo hinterland]
-
A.
portOfOrigin
Indicates the location from which something (such as a shipment or vessel) originally departs or is first sent.
-
B.
placeOfArrival
Indicates the location at which an entity or person arrives at the end of a journey, movement, or transfer.
-
C.
oreShippedTo
Indicates that ore is transported or delivered from one location or entity to another.
-
D.
territoryOfDestination
chosen
Indicates that a specified territory is the destination or endpoint location associated with an action, movement, or relation.
-
E.
countryOfExport
Indicates that one entity is the country from which another entity (such as a product, shipment, or service) is exported.
- 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_69e2c4c85778819085f5da9af3569ad5 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b0ca8081908d931aec560eae56 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:25 a.m.