Triple
T30229786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenyan general elections |
E768594
|
entity |
| Predicate | firstMultipartyElectionYear |
P203642
|
FINISHED |
| Object | 1992 |
—
|
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: 1992 | Statement: [Kenyan general elections, firstMultipartyElectionYear, 1992]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstMultipartyElectionYear Context triple: [Kenyan general elections, firstMultipartyElectionYear, 1992]
-
A.
firstElectionYear
Indicates the calendar year in which an entity (such as a person, office, or political body) first participated in or was subject to an election.
-
B.
firstElectionHeldIn
Indicates the location where an entity’s first election was conducted.
-
C.
firstModernElectionYear
Indicates the year in which the first election considered to be "modern" (under a defined modern electoral system or standards) took place for a given entity.
-
D.
firstFederalElectionYear
Indicates the calendar year in which an entity participated in or held its first federal-level election.
-
E.
firstElectionDate
Indicates the date on which an entity (such as a person or office) participated in or held its first election.
- 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_69f2248108208190be60bf1af343ce70 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a01bb9c33cc8190a95ba124d97edf99 |
completed | May 11, 2026, 11:21 a.m. |
| PD | Predicate disambiguation | batch_6a01bb6772148190a243d1141ad0a237 |
completed | May 11, 2026, 11:20 a.m. |
| PDg | Predicate description generation | batch_6a01bb9b5dc481908430714ad0ab891d |
completed | May 11, 2026, 11:20 a.m. |
Created at: April 29, 2026, 7:36 p.m.