Triple
T11794101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vice-President of Ghana |
E280460
|
entity |
| Predicate | succeedsPresidentWhen |
P33240
|
FINISHED |
| Object | presidency becomes vacant |
—
|
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: presidency becomes vacant | Statement: [Vice-President of Ghana, succeedsPresidentWhen, presidency becomes vacant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: succeedsPresidentWhen Context triple: [Vice-President of Ghana, succeedsPresidentWhen, presidency becomes vacant]
-
A.
succeededByAsPresident
Indicates that one individual directly followed another in holding the office of president.
-
B.
precededAsVicePresidentBy
Indicates that one entity served as vice president immediately before another entity in a sequence of officeholders.
-
C.
succeededAsVicePresidentBy
Indicates that one individual ceased serving as vice president and was followed in that office by another specific individual.
-
D.
successorOfficeHolder
chosen
Indicates that one office holder directly follows another in occupying the same official position.
-
E.
successorNameInUS
Indicates that the object is the name of the entity that succeeds the subject in the United States context.
- 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5a082d08190a42541396a06ed98 |
completed | April 10, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69d8a2491f048190853239bc05090bf4 |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:42 p.m.