Triple
T34871107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British Empire in Kenya region |
E1005753
|
entity |
| Predicate | suppressedRebellionEndDate |
P179741
|
FINISHED |
| Object | 1960 |
—
|
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: 1960 | Statement: [British Empire in Kenya region, suppressedRebellionEndDate, 1960]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: suppressedRebellionEndDate Context triple: [British Empire in Kenya region, suppressedRebellionEndDate, 1960]
-
A.
rebellionOccurredAfter
Indicates that the rebellion took place later in time than the referenced event or situation.
-
B.
endOfRebellion
chosen
Indicates that a rebellion or uprising has concluded or been brought to an end.
-
C.
firstMajorUprisingEndDate
Indicates the date on which the first major uprising associated with the subject came to an end.
-
D.
secondMajorUprisingEndDate
Indicates the date on which the second major uprising in a given context or region came to an end.
-
E.
uprisingDate
Indicates the date on which an uprising or rebellion occurred or began.
- 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_69f76dbde1c08190a24e7f9beb564c8d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78c61ed4c8190ad84c918fa9af55a |
completed | May 3, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69f78b8cb3a881909ebaac1b503988c2 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 3, 2026, 4 p.m.