Triple
T34344344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Butkus Award |
E881387
|
entity |
| Predicate | hasProfessionalDivision |
—
|
GENERATED |
| Object | Professional Butkus Award |
—
|
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: hasProfessionalDivision Context triple: [Butkus Award, hasProfessionalDivision, Professional Butkus Award]
-
A.
hasProfessionalSection
chosen
Indicates that an entity includes or is associated with a designated professional section, division, or category within its structure or content.
-
B.
hasProfessionalComponent
Indicates that something includes, involves, or is associated with a professional (work- or career-related) element or aspect.
-
C.
hasDivisionRole
Indicates that an entity holds a specific role or position within a particular division of an organization.
-
D.
hasProfessionalGroup
Indicates that an entity belongs to, is associated with, or is categorized under a particular professional group or category.
-
E.
hasBusinessDivision
Indicates that an organization includes or is composed of a specific business division as a subordinate unit.
- 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_69f349bc55e881908c8e338ef76b0043 |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 1:58 a.m.