Triple

T32742540
Position Surface form Disambiguated ID Type / Status
Subject Die zwei blauen Augen von meinem Schatz E837253 entity
Predicate cycleOtherSongs P136554 FINISHED
Object Wenn mein Schatz Hochzeit macht 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: Wenn mein Schatz Hochzeit macht | Statement: [Die zwei blauen Augen von meinem Schatz, cycleOtherSongs, Wenn mein Schatz Hochzeit macht]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: cycleOtherSongs
Context triple: [Die zwei blauen Augen von meinem Schatz, cycleOtherSongs, Wenn mein Schatz Hochzeit macht]
  • A. cycleBy
    Indicates that one entity moves or travels by means of riding a bicycle (or similar cycle) in relation to another entity or context.
  • B. hasSongCycle chosen
    Indicates that one entity (typically a musical work or collection) includes or is associated with a specific song cycle as part of its structure or content.
  • C. targetAlbumCycle
    Indicates the specific album release period or promotional cycle that an action, event, or relationship is associated with.
  • D. hasDifferentMusicFrom
    Indicates that two entities have music that is not the same in style, content, or identity.
  • E. cycleWith
    Indicates that two or more entities participate together in a cycling activity, such as riding bicycles along the same route or at the same time.
  • 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_69f34936e1748190b797e406e4e9293a completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f7308a096081909d66a56f3c926806 completed May 3, 2026, 11:24 a.m.
PD Predicate disambiguation batch_69f72a00c5f081908b6539d15baf4e12 completed May 3, 2026, 10:57 a.m.
Created at: May 1, 2026, 1:12 a.m.