Triple
T6990242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Single African Air Transport Market |
E162065
|
entity |
| Predicate | expectedImpact |
P68586
|
FINISHED |
| Object | increase passenger traffic within Africa |
—
|
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: increase passenger traffic within Africa | Statement: [Single African Air Transport Market, expectedImpact, increase passenger traffic within Africa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: expectedImpact Context triple: [Single African Air Transport Market, expectedImpact, increase passenger traffic within Africa]
-
A.
encodingImpact
Indicates how one encoding or encoding choice affects, modifies, or constrains another process, representation, or outcome.
-
B.
recognizesImpactOn
Indicates that one entity acknowledges or understands the effect or consequences it has on another entity or situation.
-
C.
predictedEffect
chosen
Indicates that one entity is expected to cause, influence, or result in a particular outcome or consequence for another entity.
-
D.
impactOutcome
Indicates that one entity produces an effect or influence that changes the result, consequence, or final state of another entity or situation.
-
E.
impactIfCompleted
Indicates the effect or consequence that will occur if the referenced task or action is fully completed.
- 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_69c68856d7808190ab33ee914640281b |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dbc08758819083d36a1fc0463b27 |
completed | March 27, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c4a18881908d267137daed828b |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:32 p.m.