Triple
T12770701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Law on the Hitler Youth |
E305239
|
entity |
| Predicate | targetedAgeGroup |
P102642
|
FINISHED |
| Object | adolescents |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: adolescents | Statement: [Law on the Hitler Youth, targetedAgeGroup, adolescents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetedAgeGroup Context triple: [Law on the Hitler Youth, targetedAgeGroup, adolescents]
-
A.
ageGroup
Indicates the categorical age range or bracket to which an entity belongs.
-
B.
ageRange
Indicates the span of ages within which an entity or relationship is considered valid or applicable.
-
C.
attractsAgeGroup
Indicates that something tends to draw interest or appeal from people belonging to a particular age group.
-
D.
intendedForAgeGroup
chosen
Indicates that something is designed, suitable, or targeted for use by a specific age group.
-
E.
primarySpeakersAgeGroup
Indicates the age range category to which the main or primary speakers in a context belong.
- F. None of above.
Provenance (3 batches)
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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df4b36c81909bcc913dd5e535f8 |
completed | April 10, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69d96409739881909174ba005a986cb5 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:28 p.m.