Triple
T21153566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BAKITA |
E521253
|
entity |
| Predicate | promotesUseIn |
P143084
|
FINISHED |
| Object | education system in Tanzania |
—
|
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: education system in Tanzania | Statement: [BAKITA, promotesUseIn, education system in Tanzania]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: promotesUseIn Context triple: [BAKITA, promotesUseIn, education system in Tanzania]
-
A.
promotes
Indicates that one entity actively supports, advances, or encourages the growth, adoption, or success of another entity or outcome.
-
B.
usesPromotionFrom
Indicates that one entity applies or benefits from a promotion, discount, or marketing offer provided or originated by another entity.
-
C.
promotedIn
Indicates that an entity was advanced to a higher rank, position, or status during a specified time or event.
-
D.
usesPromotion
Indicates that an entity applies or takes advantage of a specific promotion, discount, or special offer.
-
E.
promotedWith
Indicates that one entity is advertised, marketed, or publicized together with another entity as part of the same promotional effort.
- F. None of above. chosen
Provenance (4 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_69e0b50d1ea481909c07e63c3ead9316 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7252929748190afd85be40294293f |
completed | April 21, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69e5f5f8a5bc819081918c7fa8e4496d |
completed | April 20, 2026, 9:46 a.m. |
| PDg | Predicate description generation | batch_69e5f993240c8190847c0b08e65726c8 |
completed | April 20, 2026, 10:01 a.m. |
Created at: April 16, 2026, 2:58 p.m.