Triple
T25275888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South African ports |
E633693
|
entity |
| Predicate | supportMode |
P99857
|
FINISHED |
| Object | rail freight corridors |
—
|
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: rail freight corridors | Statement: [South African ports, supportMode, rail freight corridors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportMode Context triple: [South African ports, supportMode, rail freight corridors]
-
A.
supportedMode
chosen
Indicates that a system, device, or component is capable of operating in or handling a particular mode.
-
B.
supportBase
Indicates that one entity serves as a foundational or backing structure that physically or functionally supports another entity.
-
C.
supportStyle
Indicates the manner or approach by which one entity provides assistance or backing to another.
-
D.
supportStudioCountry
Indicates that a country provides support or backing to a particular studio.
-
E.
support
Indicates that one entity provides assistance, endorsement, or backing to another entity or its actions.
- 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_69e75a92f48881909974ff9c11150a2e |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b78f29481908cc8f390496dee97 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 21, 2026, 1:17 p.m.