Triple
T29888889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baringo Central Constituency |
E759090
|
entity |
| Predicate | electoralSystemOfCountry |
P150947
|
FINISHED |
| Object | first-past-the-post |
—
|
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: first-past-the-post | Statement: [Baringo Central Constituency, electoralSystemOfCountry, first-past-the-post]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electoralSystemOfCountry Context triple: [Baringo Central Constituency, electoralSystemOfCountry, first-past-the-post]
-
A.
electoralSystemCurrent
Indicates that the specified electoral system is the one currently in use in a given political or administrative context.
-
B.
electoralSystemForLegislature
Indicates the type of electoral system used to choose members of a particular legislature.
-
C.
countryElectoralSystem
chosen
Indicates the type of electoral system used by a country to conduct its elections.
-
D.
electoralSystemAtCreation
Indicates the type of electoral system that was in place at the time an entity (such as a political body or office) was originally established.
-
E.
electoralSystemContext
Indicates the electoral system or framework within which a political or electoral event, action, or relationship takes place.
- 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_69f2245de2f48190a481404896b56254 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fd82ed2a4c81908bd7797fbd2e3d08 |
completed | May 8, 2026, 6:30 a.m. |
| PD | Predicate disambiguation | batch_69fd814cc10481908e4f8123d35a5d0c |
completed | May 8, 2026, 6:23 a.m. |
Created at: April 29, 2026, 6:01 p.m.