Triple
T28657119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laud. Gr. 35 |
E725363
|
entity |
| Predicate | hasShelfmark |
P20097
|
FINISHED |
| Object | Laud. Gr. 35 |
—
|
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: Laud. Gr. 35 | Statement: [Laud. Gr. 35, hasShelfmark, Laud. Gr. 35]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasShelfmark Context triple: [Laud. Gr. 35, hasShelfmark, Laud. Gr. 35]
-
A.
hasShelfmarkSystem
Indicates that an entity uses or is associated with a particular system or scheme for assigning shelfmarks or call numbers.
-
B.
shelfMark
chosen
Indicates the classification or call number assigned to an item to specify its exact location on a shelf or within a storage system.
-
C.
hasGermanNationalLibraryId
Indicates that an entity is associated with a specific identifier assigned by the German National Library.
-
D.
hasShelfPlacement
Indicates the specific location or position an item occupies on a shelf.
-
E.
manuscriptShelfmark
Indicates the specific shelfmark or call number under which a manuscript is stored or cataloged in a collection.
- 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_69f01d84f5f0819087ab5e6143b14ed7 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f6cee45590819086e489bfccbe4ac3 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
Created at: April 28, 2026, 4:55 a.m.