Triple
T29888767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nyayo philosophy |
E759087
|
entity |
| Predicate | appliedInOfficeOf |
P194941
|
FINISHED |
| Object | President of Kenya |
—
|
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: President of Kenya | Statement: [Nyayo philosophy, appliedInOfficeOf, President of Kenya]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliedInOfficeOf Context triple: [Nyayo philosophy, appliedInOfficeOf, President of Kenya]
-
A.
builtUnderOfficeOf
Indicates that something was constructed under the authority, supervision, or jurisdiction of a particular office or official body.
-
B.
hasOffice
Indicates that an entity possesses or maintains an office at a particular location or within a specific organization.
-
C.
servesAsOfficeOf
Indicates that one entity functions as the official office, headquarters, or administrative base for another entity.
-
D.
representsInOffice
Indicates that one entity serves as an official representative of another entity within a specific office, position, or institutional role.
-
E.
aboutOfficeHeld
Indicates that one entity is related to, or provides information about, a specific office or position that is or was held by another entity.
- 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_69f2245de2f48190a481404896b56254 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fd91a5dad8819093eeeef527027890 |
completed | May 8, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69fd8f65fe9081908902500a3228d935 |
completed | May 8, 2026, 7:23 a.m. |
| PDg | Predicate description generation | batch_69fd91a44268819081b372296e3aa116 |
completed | May 8, 2026, 7:32 a.m. |
Created at: April 29, 2026, 6:01 p.m.