Triple
T29905140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Togolese Ministry of Education |
E759513
|
entity |
| Predicate | encouragesUseOfLanguageInSchools |
P75229
|
FINISHED |
| Object | Togolese national languages |
—
|
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: Togolese national languages | Statement: [Togolese Ministry of Education, encouragesUseOfLanguageInSchools, Togolese national languages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: encouragesUseOfLanguageInSchools Context triple: [Togolese Ministry of Education, encouragesUseOfLanguageInSchools, Togolese national languages]
-
A.
alsoUsesLanguageOfInstruction
Indicates that an entity, in addition to its primary language, uses the same language that is designated as the language of instruction in a given context.
-
B.
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.
-
C.
languageAdvocated
chosen
Indicates that an entity actively supports, promotes, or argues in favor of the use or adoption of a particular language.
-
D.
languageOfTeachings
Indicates the language in which teachings, lessons, or instructional content are delivered or expressed.
-
E.
languageOfInstitutionalContext
Indicates the language used as the primary medium of communication within an institutional setting or context.
- 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_69f224600590819085e148a01c056ef6 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f677556fb48190be1de257613ec04d |
completed | May 2, 2026, 10:14 p.m. |
| PD | Predicate disambiguation | batch_69f673c4abec8190bc2379e66f4af0a9 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 6:08 p.m.