Triple
T28361253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenya (former provinces system) |
E718367
|
entity |
| Predicate | capitalOfCentralProvince |
P3433
|
FINISHED |
| Object | Nyeri |
—
|
NE NERFINISHED |
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: Nyeri | Statement: [Kenya (former provinces system), capitalOfCentralProvince, Nyeri]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capitalOfCentralProvince Context triple: [Kenya (former provinces system), capitalOfCentralProvince, Nyeri]
-
A.
isProvincialCapital
chosen
Indicates that a location serves as the administrative capital of a province within a country or region.
-
B.
centralProvince
Indicates that a province occupies a central or middle position within a larger geographic, political, or administrative region.
-
C.
provinceCapitalOfProvince
Indicates that one entity is the capital city of a specified province.
-
D.
isDistrictCapitalOf
Indicates that a location serves as the administrative or governmental capital of a specified district.
-
E.
traditionalCapitalRegionOf
Indicates that a region is recognized as the traditional or historical capital area of a specified larger territory or entity.
- 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_69eff6ed5af48190be4e0adf298223e0 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f6cee45590819086e489bfccbe4ac3 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
Created at: April 28, 2026, 12:52 a.m.