Triple
T15193068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BS 2589 |
E363068
|
entity |
| Predicate | catalogNumberScheme |
P95414
|
FINISHED |
| Object | A&M Records U.S. catalog numbers |
—
|
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: A&M Records U.S. catalog numbers | Statement: [BS 2589, catalogNumberScheme, A&M Records U.S. catalog numbers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: catalogNumberScheme Context triple: [BS 2589, catalogNumberScheme, A&M Records U.S. catalog numbers]
-
A.
categoryNumbering
Indicates that items within a category are assigned an ordered or structured numbering scheme that defines their position or sequence in that category.
-
B.
designationScheme
chosen
Indicates the classification or naming system under which an entity’s designations or identifiers are defined.
-
C.
standardNumberingScheme
Indicates that there is a specific, commonly accepted numbering system or convention being applied to identify or order the related entities.
-
D.
hasCabinetNumberingSystem
Indicates that there is a specific scheme or method used to assign and organize identification numbers to cabinets.
-
E.
cardNumberScheme
Indicates the numbering system or format standard used to structure and interpret a card’s number.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0067eb710819085211fd05d5fa5f0 |
completed | April 15, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69deb97bd8bc8190b2ad4888f97cf963 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:10 a.m.