Triple
T1411938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | African Monetary Union |
E31823
|
entity |
| Predicate | potentialChallenges |
P18260
|
FINISHED |
| Object | divergent economic structures among African countries |
—
|
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: divergent economic structures among African countries | Statement: [African Monetary Union, potentialChallenges, divergent economic structures among African countries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: potentialChallenges Context triple: [African Monetary Union, potentialChallenges, divergent economic structures among African countries]
-
A.
constructionChallenges
Indicates difficulties, obstacles, or complications encountered during the process of constructing or building something.
-
B.
mayBeChallengedBy
Indicates that one entity is allowed or able to be opposed, questioned, or contested by another entity.
-
C.
problems
chosen
Indicates that one entity has issues, difficulties, or complications associated with or caused by another entity.
-
D.
facingIssue
Indicates that an entity is currently experiencing, encountering, or dealing with a problem, difficulty, or obstacle.
-
E.
issues
Indicates that an entity formally produces, releases, or distributes something, such as a document, order, or resource, making it officially available.
- 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_69a49919a994819086528951bc224775 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3e3383c81909acb9c6c1c3b817a |
completed | March 1, 2026, 10:55 p.m. |
| PD | Predicate disambiguation | batch_69a4bf048b648190ab77d9b45cb4855f |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:59 p.m.