Triple
T23257118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sierra Leone People’s Party |
E581902
|
entity |
| Predicate | usesLanguageInCampaigning |
P11589
|
FINISHED |
| Object | Krio |
—
|
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: Krio | Statement: [Sierra Leone People’s Party, usesLanguageInCampaigning, Krio]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesLanguageInCampaigning Context triple: [Sierra Leone People’s Party, usesLanguageInCampaigning, Krio]
-
A.
languageOfCampaigning
chosen
Indicates the language used to conduct or communicate a campaign (e.g., political, marketing, or advocacy efforts).
-
B.
languageAdvocated
Indicates that an entity actively supports, promotes, or argues in favor of the use or adoption of a particular language.
-
C.
usesLanguageFor
Indicates that an entity employs a particular language as a tool or medium to perform some activity, function, or purpose.
-
D.
usesLanguageAs
Indicates that one entity communicates or operates using another entity as its language or linguistic medium.
-
E.
officialLanguageUse
Indicates that a particular language is formally designated and used by an authority (such as a government or institution) for official communication, documentation, or functions.
- 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_69e246079f58819085eaa9c260906880 |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f194c5f5bc8190ac8776f7f7430209 |
completed | April 29, 2026, 5:19 a.m. |
| PD | Predicate disambiguation | batch_69effce4d704819092826931d430e8c4 |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:11 p.m.