Triple
T26210908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ho people |
E655483
|
entity |
| Predicate | literacyEfforts |
P151156
|
FINISHED |
| Object | promotion of Ho language education |
—
|
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: promotion of Ho language education | Statement: [Ho people, literacyEfforts, promotion of Ho language education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: literacyEfforts Context triple: [Ho people, literacyEfforts, promotion of Ho language education]
-
A.
literacyMovement
chosen
Indicates a relationship where an entity leads, participates in, or is associated with an organized effort to promote or improve literacy.
-
B.
literacyStatus
Indicates whether an entity possesses the ability to read and write, or its level of literacy.
-
C.
typeOfLiteracy
Indicates the specific kind or category of literacy (e.g., digital, financial, media) that characterizes an entity’s literacy skills or practices.
-
D.
hasLiteracyConcern
Indicates that an entity has an identified issue, risk, or challenge related to literacy skills or abilities.
-
E.
literacyRateOverall
Indicates the proportion of a population that can read and write at a specified minimum level of proficiency.
- 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_69ee5b49adb4819086545280d4ef6337 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f661b58ac48190907b6c6e9ccc2c59 |
completed | May 2, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_69f660eea4648190b0d5e24293607813 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 26, 2026, 8:52 p.m.