Triple
T1773083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | An meinem Herzen, an meiner Brust |
E38917
|
entity |
| Predicate | opusNumberOfCycle |
P31724
|
FINISHED |
| Object | Op. 42 |
—
|
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: Op. 42 | Statement: [An meinem Herzen, an meiner Brust, opusNumberOfCycle, Op. 42]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: opusNumberOfCycle Context triple: [An meinem Herzen, an meiner Brust, opusNumberOfCycle, Op. 42]
-
A.
evaluationCycle
Indicates the recurring period or sequence in which evaluations or assessments are conducted and reviewed.
-
B.
followsCycle
Indicates that one entity adheres to or repeats a recurring sequence, pattern, or cycle defined or exemplified by another entity.
-
C.
hasCycleLength
Indicates that an entity participates in or exhibits a cycle whose duration or size is specified by the associated length value.
-
D.
numberOfCircuitsInSystem
Indicates the total count of circuits that exist within a given system.
-
E.
occursInYearsOfCycle
Indicates that an event or phenomenon takes place during specific years within a recurring multi-year cycle.
- 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_69a8862e61708190af97b9838cc3f5de |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab39fc2c448190bfaf1ee8d474632a |
completed | March 6, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69aa61cbb1288190a7ba38b61905f578 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69ab39faf69c8190bae98d3e3911078f |
completed | March 6, 2026, 8:32 p.m. |
Created at: March 4, 2026, 7:31 p.m.