Triple
T23838521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Südwestrundfunk |
E590918
|
entity |
| Predicate | hasYouthOffer |
P6626
|
FINISHED |
| Object | Dasding |
—
|
NE NERFINISHED |
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: Dasding | Statement: [Südwestrundfunk, hasYouthOffer, Dasding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasYouthOffer Context triple: [Südwestrundfunk, hasYouthOffer, Dasding]
-
A.
hasYouthProgram
chosen
Indicates that an entity offers or is associated with an organized program or set of activities specifically designed for young people.
-
B.
youthQuota
Indicates that there is a specified minimum or reserved proportion of opportunities, positions, or resources allocated specifically for young people.
-
C.
offersProgramsIn
Indicates that an institution or provider makes educational or training programs available in a particular field, subject, or area.
-
D.
offersProgramsFor
Indicates that one entity provides or makes available specific programs or courses intended for another entity.
-
E.
hasOffering
Indicates that one entity provides, presents, or makes available an offering (such as a product, service, or item) to another entity or context.
- 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_69e25d1de32c8190a907afe9c3d6cd6d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c884c800819090d301740e1966cc |
completed | April 29, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f156036ad48190bc2ffdaf39218bcb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 8:08 p.m.