Triple
T34148536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zimbabwean presidential election, 1996 |
E875929
|
entity |
| Predicate | oppositionWithdrawalReason |
P12349
|
FINISHED |
| Object | allegations of unfair electoral conditions |
—
|
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: allegations of unfair electoral conditions | Statement: [Zimbabwean presidential election, 1996, oppositionWithdrawalReason, allegations of unfair electoral conditions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oppositionWithdrawalReason Context triple: [Zimbabwean presidential election, 1996, oppositionWithdrawalReason, allegations of unfair electoral conditions]
-
A.
opposedBecause
Indicates that one entity is opposed to another specifically due to a particular reason, cause, or justification.
-
B.
reasonForWithdrawal
chosen
Indicates the cause, motive, or circumstance that explains why a withdrawal occurred.
-
C.
reasonForVeto
Indicates the specific justification or grounds given for issuing a veto.
-
D.
dissentReason
Indicates the reason or justification given for expressing disagreement or opposition to something.
-
E.
termLimitReasonForLeavingOffice
Indicates that an officeholder left their position specifically because they reached a legally or formally imposed term limit.
- 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_69f349abaa508190a820f206620efddc |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd2a215d6c8190a1a428ccaee603f1 |
completed | May 8, 2026, 12:11 a.m. |
| PD | Predicate disambiguation | batch_69fd28ef19688190bb8370f2812a43e7 |
completed | May 8, 2026, 12:06 a.m. |
Created at: May 1, 2026, 1:54 a.m.