Triple
T28361254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenya (former provinces system) |
E718367
|
entity |
| Predicate | capitalOfCoastProvince |
P87043
|
FINISHED |
| Object | Mombasa |
—
|
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: Mombasa | Statement: [Kenya (former provinces system), capitalOfCoastProvince, Mombasa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capitalOfCoastProvince Context triple: [Kenya (former provinces system), capitalOfCoastProvince, Mombasa]
-
A.
countryCapitalOfProvince
Indicates that a country serves as the capital or primary administrative center of a specified province.
-
B.
provinceCapitalOfProvince
chosen
Indicates that one entity is the capital city of a specified province.
-
C.
countryCapitalProvince
Indicates that a given province serves as the capital administrative region of a specified country.
-
D.
capitalOfIsland
Indicates that a location serves as the capital city or administrative center of a specified island.
-
E.
capitalOfProvinceNearby
Indicates that a city serves as the capital of a province that is geographically close to a specified reference location or area.
- 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_69f6d0d46aec819091edf97324d793ac |
completed | May 3, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe2183481908ae4e85a59c66f69 |
completed | May 3, 2026, 4:32 a.m. |
Created at: April 28, 2026, 12:52 a.m.