Triple
T20645943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mau Mau Uprising |
E507355
|
entity |
| Predicate | numberOfExecutedPersons |
P867
|
FINISHED |
| Object | over 1,000 Mau Mau suspects executed by colonial authorities |
—
|
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: over 1,000 Mau Mau suspects executed by colonial authorities | Statement: [Mau Mau Uprising, numberOfExecutedPersons, over 1,000 Mau Mau suspects executed by colonial authorities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfExecutedPersons Context triple: [Mau Mau Uprising, numberOfExecutedPersons, over 1,000 Mau Mau suspects executed by colonial authorities]
-
A.
numberOfPeopleExecuted
chosen
Indicates the total count of individuals who were put to death, typically as a result of a formal execution process.
-
B.
numberOfExecutedAdults
Indicates the count of adult individuals who have been executed in a given context or event.
-
C.
numberOfPerpetratorsKilled
Indicates the count of perpetrators who were killed in the context of the described event or incident.
-
D.
numberSentencedToDeath
Indicates the number of individuals who have been formally sentenced to receive the death penalty.
-
E.
numberOfPeoplePunished
Indicates the count of individuals who received punishment in relation to a specified event, action, or context.
- 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_69e0b4be702c8190a3d2410a881d310a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af1dd79481909de985d03ab861c2 |
completed | April 20, 2026, 10:56 p.m. |
| PD | Predicate disambiguation | batch_69e5c0315f5081908098707c6455e56e |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 11:43 a.m.