Triple
T29853932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | String Quartet No. 13 in A minor "Rosamunde" |
E758134
|
entity |
| Predicate | hasDeutschCatalogueNumber |
P84753
|
FINISHED |
| Object | D 804 |
—
|
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: D 804 | Statement: [String Quartet No. 13 in A minor "Rosamunde", hasDeutschCatalogueNumber, D 804]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDeutschCatalogueNumber Context triple: [String Quartet No. 13 in A minor "Rosamunde", hasDeutschCatalogueNumber, D 804]
-
A.
hasGermanNationalLibraryId
Indicates that an entity is associated with a specific identifier assigned by the German National Library.
-
B.
hasTitleInGerman
Indicates that an entity has a specific title or name expressed in the German language.
-
C.
hasKochelNumber
Indicates that a musical work is associated with a specific Köchel catalogue number used to uniquely identify compositions by Mozart.
-
D.
alternativeCatalogNumber
chosen
Indicates that an entity is associated with an additional or substitute catalog number different from its primary catalog identifier.
-
E.
GermanEditionURL
Indicates the URL where the German-language edition or version of an item can be accessed.
- 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_69f2245a82cc8190a387e7d0118d710b |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fd76d1e5208190a6f26651492d1e3c |
completed | May 8, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69fd702a226c81908edfda00f4be4130 |
completed | May 8, 2026, 5:10 a.m. |
Created at: April 29, 2026, 5:45 p.m.