Triple
T32094580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arien |
E819691
|
entity |
| Predicate | associatedAge |
—
|
GENERATED |
| Object | FirstAge |
—
|
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: associatedAge Context triple: [Arien, associatedAge, FirstAge]
-
A.
containsAge
Indicates that one entity includes or specifies the age value or age-related information of another entity.
-
B.
canAge
Indicates that one entity has the capability or property of undergoing aging over time.
-
C.
estimatedAgeYears
Indicates the approximate number of years assigned as an entity’s age based on estimation rather than exact measurement.
-
D.
ageBased
Indicates a relationship or condition that depends on or is determined by the age of the entities involved.
-
E.
ageType
chosen
Indicates the specific categorization or classification of an age value (e.g., actual, estimated, range-based) associated with an 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_69f349004b2481908ce2e50af0d579a8 |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:25 a.m.