Triple
T32804791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | D 957 |
E838992
|
entity |
| Predicate | hasCatalogueNumberInDeutschCatalogue |
P198579
|
FINISHED |
| Object | D 957 |
—
|
NE NERFINISHED |
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 957 | Statement: [D 957, hasCatalogueNumberInDeutschCatalogue, D 957]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCatalogueNumberInDeutschCatalogue Context triple: [D 957, hasCatalogueNumberInDeutschCatalogue, D 957]
-
A.
hasCatalogNumberSystem
Indicates that an entity uses or is associated with a particular catalog numbering system for organizing or identifying items.
-
B.
alternativeCatalogNumber
Indicates that an entity is associated with an additional or substitute catalog number different from its primary catalog identifier.
-
C.
hasGermanNationalLibraryId
Indicates that an entity is associated with a specific identifier assigned by the German National Library.
-
D.
catalogueRaisonneNumber
Indicates the identifier assigned to a work in a catalogue raisonné, linking it to its authoritative scholarly listing.
-
E.
WagnerCatalogueNumber
Indicates the specific catalogue number assigned to a work in the thematic catalogue of Richard Wagner’s compositions.
- 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_69f3493d35208190b4351b4e85f2fa16 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fef3ceef648190b58027c93d757438 |
completed | May 9, 2026, 8:43 a.m. |
| PD | Predicate disambiguation | batch_69fef359da2c819091a034387b08821f |
completed | May 9, 2026, 8:42 a.m. |
| PDg | Predicate description generation | batch_69fef3cdea708190af41c1ff23b68f88 |
completed | May 9, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:15 a.m.