Triple
T11303576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Embu language |
E267656
|
entity |
| Predicate | isTaughtInformally |
P68115
|
FINISHED |
| Object | within families and communities |
—
|
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: within families and communities | Statement: [Embu language, isTaughtInformally, within families and communities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTaughtInformally Context triple: [Embu language, isTaughtInformally, within families and communities]
-
A.
isTaughtInformallyIn
chosen
Indicates that something is taught or learned in an informal setting or context, rather than through formal instruction.
-
B.
isTaughtFormally
Indicates that one entity provides structured, formal instruction or education to another entity.
-
C.
isTaughtAs
Indicates that something is presented or delivered as instructional content, typically within an educational or training context.
-
D.
isTaughtInSchools
Indicates that a subject, concept, or skill is included as part of the formal curriculum in educational institutions.
-
E.
hasTeaching
Indicates that one entity provides instruction or educational guidance to another entity.
- 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9a5c3788190ba54eda514b97903 |
completed | April 9, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69d787aa31888190860eecaa80da5b20 |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:32 p.m.