Triple
T23034132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gukurahundi |
E573546
|
entity |
| Predicate | officialCharacterizationByMugabe |
P150733
|
FINISHED |
| Object | moment of madness |
—
|
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: moment of madness | Statement: [Gukurahundi, officialCharacterizationByMugabe, moment of madness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officialCharacterizationByMugabe Context triple: [Gukurahundi, officialCharacterizationByMugabe, moment of madness]
-
A.
presidentialVotesPercentageRobertMugabe
Indicates the percentage of total presidential election votes that were cast for Robert Mugabe.
-
B.
historicalColonialEntityOnZimbabweSide
Indicates that the subject was a historical colonial entity located on, controlling, or associated with the territory that is now Zimbabwe.
-
C.
returnedToZimbabweAfter
Indicates that an entity went back to Zimbabwe after having previously left it.
-
D.
notableLeaderOfFRELIMO
Indicates that a person is a prominent or historically significant leader of the FRELIMO political organization or movement.
-
E.
supporterOfFRELIMO
Indicates that an entity supports, endorses, or is aligned with FRELIMO (the Mozambique Liberation Front).
- 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_69e245b911188190bc3d96326c847969 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18483e5848190977b1bdb1b83d187 |
completed | April 29, 2026, 4:09 a.m. |
| PD | Predicate disambiguation | batch_69ef3ba004a48190885aece88efd1f52 |
completed | April 27, 2026, 10:34 a.m. |
| PDg | Predicate description generation | batch_69ef538b29c081908fa56ee35a1dcee7 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 17, 2026, 3:53 p.m.