Triple
T38013683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | How the First Letter Was Written |
E948431
|
entity |
| Predicate | originalAudienceAgeGroup |
—
|
GENERATED |
| Object | young readers |
—
|
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: originalAudienceAgeGroup Context triple: [How the First Letter Was Written, originalAudienceAgeGroup, young readers]
-
A.
intendedForAgeGroup
chosen
Indicates that something is designed, suitable, or targeted for use by a specific age group.
-
B.
typicalAudience
Indicates the group of people for whom something (such as a work, product, or resource) is primarily intended or most suitable.
-
C.
ageGroupIndicated
Indicates that a specific age range or category is identified or assigned to an entity.
-
D.
ageGroup
Indicates the categorical age range or bracket to which an entity belongs.
-
E.
ageRatingContext
Indicates the contextual basis or circumstances (such as region, system, or criteria) under which an age rating is assigned or interpreted.
- 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_69f76efc10448190aff5fb566b98f952 |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:20 p.m.