Triple
T5771994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kgalema Motlanthe |
E127350
|
entity |
| Predicate | servedAsActingPresident |
P26945
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Kgalema Motlanthe, servedAsActingPresident, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servedAsActingPresident Context triple: [Kgalema Motlanthe, servedAsActingPresident, true]
-
A.
assumedOfficeAsInterimPresident
chosen
Indicates that an individual temporarily took on the role and responsibilities of president in an interim capacity.
-
B.
servedAsPresidentDuring
Indicates that a person held the office of president for the duration of a specified time period or event.
-
C.
presidentDuringVicePresidency
Indicates that one person served as president during the period when another person was serving as vice president.
-
D.
servesAsVicePresidentDuring
Indicates that one entity holds the position of vice president for another entity during a specified time period.
-
E.
succeededByAsPresident
Indicates that one individual directly followed another in holding the office of president.
- 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_69c00834f6308190851b0abeddd8ed7e |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02acb12c081908e4beee4a957f9f9 |
completed | March 22, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69c021d0c6088190ba670ddcdbf5ca3e |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:50 p.m.