Triple
T37493352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | K. 417a |
E931756
|
entity |
| Predicate | hasCatalogueRelation |
P200926
|
FINISHED |
| Object | revised Köchel number for Mozart’s Great Mass in C minor |
—
|
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: revised Köchel number for Mozart’s Great Mass in C minor | Statement: [K. 417a, hasCatalogueRelation, revised Köchel number for Mozart’s Great Mass in C minor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCatalogueRelation Context triple: [K. 417a, hasCatalogueRelation, revised Köchel number for Mozart’s Great Mass in C minor]
-
A.
belongsToCatalogOf
Indicates that one item is included within, or is a member of, a particular catalog or collection.
-
B.
hasCatalogueContext
Indicates that something is associated with, or occurs within, a specific catalogue-related context or framework.
-
C.
hasCatalogView
Indicates that an entity is associated with a particular way or mode of viewing or presenting a catalog.
-
D.
hasCatalogInLabel
chosen
Indicates that an entity’s catalog identifier or reference is included within its label text.
-
E.
hasSubcategoryRelation
Indicates that one category is a more specific subdivision or subset of another broader category.
- 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_69f76ec457a4819094eeb3aed9baac11 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a001540d4f881908a4688881875e774 |
completed | May 10, 2026, 5:18 a.m. |
| PD | Predicate disambiguation | batch_6a0014a8cdd88190a67a90a2df2c5e18 |
completed | May 10, 2026, 5:16 a.m. |
Created at: May 3, 2026, 4:17 p.m.