Triple
T19470921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2013 Venezuelan presidential election |
E487119
|
entity |
| Predicate | incumbentPosition |
P136050
|
FINISHED |
| Object | acting president of Venezuela |
—
|
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: acting president of Venezuela | Statement: [2013 Venezuelan presidential election, incumbentPosition, acting president of Venezuela]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: incumbentPosition Context triple: [2013 Venezuelan presidential election, incumbentPosition, acting president of Venezuela]
-
A.
incumbentOffice
Indicates that a person currently holds and serves in a specified office or position.
-
B.
incumbent
Indicates that an entity currently holds a particular position, office, or role at the present time.
-
C.
stateOfPoliticalOffice
Indicates the political office or governmental position currently held or associated with an entity.
-
D.
electoralPosition
Indicates that an entity holds, has held, or is a candidate for a specific role or office within an electoral or political system.
-
E.
lastIncumbent
Indicates that the subject is the most recent person or entity to have held a particular position, office, or role before the current one.
- F. None of above. chosen
Provenance (4 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633e809008190b0021d41b99f9700 |
completed | April 20, 2026, 2:10 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7883308190b73912a71a35a835 |
completed | April 19, 2026, 4:06 p.m. |
| PDg | Predicate description generation | batch_69e5004d3a708190a1c13c8f644f3926 |
completed | April 19, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:39 p.m.