Triple
T28361281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenya (former provinces system) |
E718367
|
entity |
| Predicate | mappingToNewUnits |
P9923
|
FINISHED |
| Object | provinces were split into multiple counties |
—
|
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: provinces were split into multiple counties | Statement: [Kenya (former provinces system), mappingToNewUnits, provinces were split into multiple counties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mappingToNewUnits Context triple: [Kenya (former provinces system), mappingToNewUnits, provinces were split into multiple counties]
-
A.
convertedUnit
Indicates that one unit is the result of converting a quantity expressed in another unit.
-
B.
conversionUse
Indicates that one entity is used as a means, method, or context for converting another entity from one form, state, or representation to another.
-
C.
someUnitsConvertedTo
Indicates that a quantity expressed in one unit of measurement has been transformed into an equivalent quantity expressed in another unit.
-
D.
mapsTo
chosen
Indicates that one entity is associated with or transformed into another entity, typically defining a directional correspondence or function from a source to a target.
-
E.
mappingSource
Indicates that one entity serves as the origin or provider of a mapping or correspondence that defines how elements relate between two representations or systems.
- 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_69f64c3291888190a0f53f691269bbff |
completed | May 2, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69f641e2f1708190b45b48d6a43c51d2 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 28, 2026, 12:52 a.m.