Triple
T25378447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SAATM |
E633113
|
entity |
| Predicate | typeOfLiberalization |
P98268
|
FINISHED |
| Object | open skies 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: open skies within Africa | Statement: [SAATM, typeOfLiberalization, open skies within Africa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfLiberalization Context triple: [SAATM, typeOfLiberalization, open skies within Africa]
-
A.
haveVisaLiberalizationWith
Indicates that there exists a mutual agreement or policy framework under which entities allow eased or visa-free travel between them.
-
B.
typeOfReforms
chosen
Indicates the specific kinds or categories of reforms associated with an entity or situation.
-
C.
typeOfProvision
Indicates the specific category or kind of provision that characterizes or qualifies a given arrangement, service, or resource.
-
D.
hasLessStrictTradeControlsThan
Indicates that one entity’s trade regulations or restrictions are more relaxed or permissive compared to those of another entity.
-
E.
typeOfIndependence
Indicates the specific nature or category of independence that applies to an entity or relationship.
- 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_69e75a90c0dc819092f928b6ea0ecc72 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f6cee45590819086e489bfccbe4ac3 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
Created at: April 21, 2026, 1:38 p.m.