Triple
T33845165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zimbabwean parliamentary election, 1995 |
E867459
|
entity |
| Predicate | effectOnPartySystem |
P40373
|
FINISHED |
| Object | consolidation of ZANU–PF dominance |
—
|
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: consolidation of ZANU–PF dominance | Statement: [Zimbabwean parliamentary election, 1995, effectOnPartySystem, consolidation of ZANU–PF dominance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOnPartySystem Context triple: [Zimbabwean parliamentary election, 1995, effectOnPartySystem, consolidation of ZANU–PF dominance]
-
A.
eventEffect
Indicates the resulting change, outcome, or consequence that one event has on another state, entity, or event.
-
B.
effectOnPolity
Indicates the impact or consequence that one entity, event, or action has on a political body or governing organization.
-
C.
effectOnSystem
chosen
Indicates the influence, change, or impact that one entity, action, or condition has on the state or behavior of a system.
-
D.
effectOnUser
Indicates how an action, event, or condition influences or impacts a user.
-
E.
effectOnMembers
Indicates the impact or influence that something has on the members of a group or organization.
- 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_69f349937b648190a34ada70f6a2b534 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd09840ea88190a2e6d7e577ade717 |
completed | May 7, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69fd064c49988190afadddbd04d7cb94 |
completed | May 7, 2026, 9:38 p.m. |
Created at: May 1, 2026, 1:47 a.m.