Triple
T29328092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Democratic Party of Kenya |
E743706
|
entity |
| Predicate | legalisedIn |
P58843
|
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: [Democratic Party of Kenya, legalisedIn, 1992]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalisedIn Context triple: [Democratic Party of Kenya, legalisedIn, 1992]
-
A.
legalizedIn
chosen
Indicates that an action, substance, or practice is permitted by law within a specified jurisdiction or region.
-
B.
legalizedInstitution
Indicates that an authority has formally granted legal status or approval for an institution to exist or operate.
-
C.
legalizationYear
Indicates the year in which something (typically an activity, substance, or status) was officially made legal by law.
-
D.
legalStatusInManyCountries
Indicates that the subject has a particular legal classification or standing that is recognized across numerous countries.
-
E.
legalStatusOfItems
Indicates the legal classification or regulatory standing that applies to specified items.
- 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_69f09125f784819080f4e9fce9fe624f |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69fd783fed9c81909e792702636c4f1f |
completed | May 8, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_69fd7788e63c81909de22fdafcfe41c0 |
completed | May 8, 2026, 5:41 a.m. |
Created at: April 28, 2026, 1:28 p.m.