Triple
T36829872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | José Vasconcelos World Award of Education |
E910108
|
entity |
| Predicate | typicalLaureate |
—
|
GENERATED |
| Object | educator |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalLaureate Context triple: [José Vasconcelos World Award of Education, typicalLaureate, educator]
-
A.
typicalLaureateType
chosen
Indicates the usual or most common type or category of laureate associated with something.
-
B.
hasLaureate
Indicates that an entity (such as an award or prize) has a specific person or group as its laureate or recipient.
-
C.
typicalHonoree
Indicates that an entity is the usual or characteristic recipient of an honor, award, or recognition associated with another entity.
-
D.
laureateOccupation
Indicates the professional role or field in which a laureate is recognized or has worked.
-
E.
typicalAwardedBy
Indicates the usual or standard agent (such as a person or organization) that confers or grants a particular award.
- F. None of above.
Provenance (1 batch)
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_69f76e7e9d60819092442fba73290a46 |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:13 p.m.