Triple
T29027097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aus meinen Tränen sprießen |
E737621
|
entity |
| Predicate | cycleNumberWithinWork |
P42829
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Aus meinen Tränen sprießen, cycleNumberWithinWork, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cycleNumberWithinWork Context triple: [Aus meinen Tränen sprießen, cycleNumberWithinWork, 2]
-
A.
workBelongsToCycle
Indicates that a specific work is associated with, and forms part of, a larger cycle or series.
-
B.
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.
-
C.
opusNumberOfCycle
Indicates that a specific opus number identifies or is assigned to a particular musical cycle.
-
D.
hasNumberWithinWork
chosen
Indicates that a specific number or numeric value is contained, referenced, or used within a particular work (such as a document, publication, or creative piece).
-
E.
typicalNumberOfCycles
Indicates the usual or characteristic count of cycles associated with an entity, process, or event.
- 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_69f077ef00fc81909325f084ad37c035 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f67d3624248190a36a9b2d2e9778d4 |
completed | May 2, 2026, 10:39 p.m. |
| PD | Predicate disambiguation | batch_69f678ce54b081908c26edfd49e39c60 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 28, 2026, 9:53 a.m.