Triple
T38535455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Got That Purp |
E923484
|
entity |
| Predicate | locationOfRecordLabel |
—
|
GENERATED |
| Object | Atlanta, Georgia |
—
|
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: locationOfRecordLabel Context triple: [Got That Purp, locationOfRecordLabel, Atlanta, Georgia]
-
A.
labelLocation
Indicates that a label or identifier is associated with a specific spatial or geographic location.
-
B.
recordLabelLocation
chosen
Indicates the geographic place where a record label is based or operates from.
-
C.
locationOfRepresentation
Indicates that one entity is the place or site where another entity is depicted, displayed, or represented.
-
D.
marksLocationOf
Indicates that one entity serves as a marker, sign, or indicator specifying the location of another entity.
-
E.
locationOfMark
Indicates that one entity is the place or position where a particular mark is found or applied.
- 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_69f76ea8f6348190a5c03fb6292bbee3 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:32 p.m.