Triple
T19515085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2018 Venezuelan presidential election |
E488256
|
entity |
| Predicate | electedPresidentTermStart |
P14209
|
FINISHED |
| Object | 10 January 2019 |
—
|
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: 10 January 2019 | Statement: [2018 Venezuelan presidential election, electedPresidentTermStart, 10 January 2019]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electedPresidentTermStart Context triple: [2018 Venezuelan presidential election, electedPresidentTermStart, 10 January 2019]
-
A.
presidentTermStart
chosen
Indicates the date or point in time when an individual officially begins serving as president of an entity.
-
B.
presidentAtStartOfTerm
Indicates that the subject was the president holding office at the beginning of the specified term or period.
-
C.
termAsActingPresidentStart
Indicates the date or point in time when an individual begins serving in the role of acting president.
-
D.
termOfOfficeInaugurated
Indicates the event or date on which an individual officially begins their term of office through an inauguration.
-
E.
inauguralHolderStartDate
Indicates the date on which the first person or entity to hold a position, title, or role officially began their tenure.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6359b90f08190b38359dc9e97e11c |
completed | April 20, 2026, 2:18 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7bd25881908caa04eaef1f6718 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:40 p.m.