Triple

T33299262
Position Surface form Disambiguated ID Type / Status
Subject Honig im Kopf E852531 entity
Predicate ageRatingGermany P119209 FINISHED
Object FSK 6 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: FSK 6 | Statement: [Honig im Kopf, ageRatingGermany, FSK 6]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ageRatingGermany
Context triple: [Honig im Kopf, ageRatingGermany, FSK 6]
  • A. ageRatingContext
    Indicates the contextual basis or circumstances (such as region, system, or criteria) under which an age rating is assigned or interpreted.
  • B. ratedFor
    Indicates that an entity has been evaluated and assigned a suitability or quality level for a particular purpose, context, or audience.
  • C. ageRatingSystem
    Indicates the classification scheme or standard used to assign age-appropriateness ratings to content.
  • D. parentalRating chosen
    Indicates the content advisory classification assigned to a work, specifying the recommended minimum audience age or parental guidance level.
  • E. USRating
    Indicates that an entity has been assigned a rating, classification, or evaluation according to a United States–based standard or system.
  • 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_69f34966ed4c81908dc9dda82d8c7fe3 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6e3156ea48190b604e414665ef351 completed May 3, 2026, 5:54 a.m.
PD Predicate disambiguation batch_69f6de0b9ba48190887c9eb5d06a2e94 completed May 3, 2026, 5:32 a.m.
Created at: May 1, 2026, 1:33 a.m.