Triple
T26446427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prime Minister of Kenya |
E665225
|
entity |
| Predicate | secondAbolition |
P178764
|
FINISHED |
| Object | 2013 |
—
|
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: 2013 | Statement: [Prime Minister of Kenya, secondAbolition, 2013]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondAbolition Context triple: [Prime Minister of Kenya, secondAbolition, 2013]
-
A.
finalAbolition
Indicates the complete and permanent elimination of something, such that it no longer exists or is practiced in any form.
-
B.
afterAbolition
Indicates that one event, condition, or state occurs subsequent to the formal ending or abolition of another practice, system, or institution.
-
C.
overthrownWithAbolitionOf
Indicates that one entity (such as a system, institution, or regime) is brought down or removed through the complete abolition of another entity.
-
D.
secondDissolution
Indicates that an entity undergoes a second instance of dissolution or breakup, following a prior dissolution event.
-
E.
hasAbolitionistHistory
Indicates that an entity has a historical association with efforts to abolish a particular practice, system, or institution (commonly slavery or similar forms of oppression).
- 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_69ee883d5040819097dd154643005230 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
| PDg | Predicate description generation | batch_69f71421e8d08190807ccfb15d0f0ddb |
completed | May 3, 2026, 9:23 a.m. |
Created at: April 27, 2026, 12:02 a.m.