Triple
T27760930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prime Minister of Equatorial Guinea |
E701465
|
entity |
| Predicate | appointedByMeansOf |
P15577
|
FINISHED |
| Object | presidential decree |
—
|
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: presidential decree | Statement: [Prime Minister of Equatorial Guinea, appointedByMeansOf, presidential decree]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appointedByMeansOf Context triple: [Prime Minister of Equatorial Guinea, appointedByMeansOf, presidential decree]
-
A.
appointedBy
Indicates that one entity has been formally selected or assigned to a position, role, or office by another entity.
-
B.
appointedByMethod
chosen
Indicates that an appointment or designation of a role or position was made using a specified method or procedure.
-
C.
appointedThrough
Indicates that an entity attained a position, role, or status by means of a specific appointing process, mechanism, or intermediary.
-
D.
appointedByOffice
Indicates that an entity attains its position or role through a formal appointment made by a specific office or official authority.
-
E.
appointedFrom
Indicates that an entity was selected or assigned to a position or role originating from a specified source, body, or prior position.
- 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_69ef6a5193808190816eb7d0020b2d87 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc53f4f881908dcc698687bbb64d |
completed | May 3, 2026, 7:42 a.m. |
Created at: April 27, 2026, 4:27 p.m.