Triple
T6051411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Auferstanden aus Ruinen |
E134801
|
entity |
| Predicate | melodyUsedAfterLyricsDropped |
P67980
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Auferstanden aus Ruinen, melodyUsedAfterLyricsDropped, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: melodyUsedAfterLyricsDropped Context triple: [Auferstanden aus Ruinen, melodyUsedAfterLyricsDropped, yes]
-
A.
melodyReusedBy
Indicates that a melody originally used in one work is later reused or incorporated in another work.
-
B.
hasMelody
Indicates that one entity possesses, contains, or is characterized by a particular melody.
-
C.
laterHadLyricsIn
Indicates that lyrics were added to a previously existing work at a later time.
-
D.
scriptUsedInLyrics
Indicates that a particular writing system or script is used to write or represent the lyrics of a song or musical work.
-
E.
hasNoLyrics
Indicates that the referenced musical work or audio track does not contain any sung or spoken lyrics.
- F. None of above. chosen
Provenance (4 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_69c00877b6d4819096b0e163728b73a3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056f66cb08190a782cdd038f26b93 |
completed | March 22, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69c049edc6f0819092ca620d9073ad26 |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04dbefd1081909795fe1a812b991a |
completed | March 22, 2026, 8:14 p.m. |
Created at: March 22, 2026, 4:09 p.m.