Triple
T8520215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frauenliebe und -leben |
E201675
|
entity |
| Predicate | hasCatalogueDesignation |
P70371
|
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: [Frauenliebe und -leben, hasCatalogueDesignation, Op. 42]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCatalogueDesignation Context triple: [Frauenliebe und -leben, hasCatalogueDesignation, Op. 42]
-
A.
hasDiscoveryDesignation
Indicates that an entity has been assigned a specific designation or label associated with its discovery.
-
B.
hasInternalDesignationFor
Indicates that one entity assigns or uses an internal label, code, or designation to refer to another entity.
-
C.
associatedDesignation
chosen
Indicates that one entity is linked to or identified by a particular designation, title, or label connected with it.
-
D.
internationalDesignation
Indicates that an entity has been assigned a formal status, code, or recognition by an international body or under an internationally agreed system.
-
E.
hasCriticalDesignation
Indicates that an entity has been assigned a status or label marking it as critical in importance, priority, or required attention.
- 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_69ca8321bb44819081b74df0b710276d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe628f8c48190a35201f9fde605cc |
completed | March 31, 2026, 3:20 p.m. |
| PD | Predicate disambiguation | batch_69cbd10f64b4819080859057c19e58f0 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:16 p.m.