Triple
T33661653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The River |
E862367
|
entity |
| Predicate | associatedWithAuthorExperienceIn |
—
|
GENERATED |
| Object | India |
—
|
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: associatedWithAuthorExperienceIn Context triple: [The River, associatedWithAuthorExperienceIn, India]
-
A.
relatedToAuthorExperience
chosen
Indicates that something has a connection to, is influenced by, or is derived from the author's personal experiences.
-
B.
associatedWithAuthorWork
Indicates a relationship where an author is connected to a work they created, contributed to, or are otherwise credited for.
-
C.
associatedWithAuthorRole
Indicates that an entity is connected to another entity specifically in the capacity or role of an author.
-
D.
associatedWithAuthorType
Indicates that one entity has a specified type of association or role in relation to an author.
-
E.
associatedWithWorkOf
Indicates that one entity has a connection or involvement with the work, creation, or output produced by another entity.
- 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_69f34984c4008190bb82f33a7819da64 |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:42 a.m.