Triple
T378270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Assembly of Zimbabwe |
E8617
|
entity |
| Predicate | lastGeneralElectionYear |
P3713
|
FINISHED |
| Object | 2023 |
—
|
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: 2023 | Statement: [National Assembly of Zimbabwe, lastGeneralElectionYear, 2023]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastGeneralElectionYear Context triple: [National Assembly of Zimbabwe, lastGeneralElectionYear, 2023]
-
A.
lastElection
chosen
Indicates the most recent electoral event associated with an entity, such as the latest election in which it participated or was affected.
-
B.
reElectionYear
Indicates the year in which an entity is (or is scheduled to be) elected again to the same position or office.
-
C.
electionNumber
Indicates the specific ordinal or identifying number assigned to a particular election within a series or system of elections.
-
D.
legislativePeriod
Indicates the specific legislative term or session during which an action, event, or status is valid or took place.
-
E.
firstElectionDate
Indicates the date on which an entity (such as a person or office) participated in or held its first election.
- 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec2974988190a1d6316cbb5159c8 |
completed | Feb. 28, 2026, 1:22 p.m. |
| PD | Predicate disambiguation | batch_69a2e96351cc8190a55adf95f8c27e9e |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.