Triple
T1904641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liberian dollar |
E37772
|
entity |
| Predicate | isManagedUnder |
P29724
|
FINISHED |
| Object | Liberian monetary law |
—
|
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: Liberian monetary law | Statement: [Liberian dollar, isManagedUnder, Liberian monetary law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isManagedUnder Context triple: [Liberian dollar, isManagedUnder, Liberian monetary law]
-
A.
managedIn
chosen
Indicates that one entity is administered, operated, or overseen within the scope, control, or jurisdiction of another entity.
-
B.
hasManagement
Indicates that one entity exercises managerial authority or oversight over another entity.
-
C.
hasTypeOfManagement
Indicates that an entity is associated with or operates under a specified form or style of management.
-
D.
managedAs
Indicates that one entity is administered, controlled, or handled in the same way or under the same policies, procedures, or classification as another entity.
-
E.
ownsOrManages
Indicates that one entity has ownership of, or managerial control over, another entity.
- 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_69a8861be7148190a680937ec451a304 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb34d94fc8190a5bf1e582c77c725 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abafe9f8b0819086d8f6288511c66d |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:35 p.m.