Triple
T35157807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BWV 849 |
E1015174
|
entity |
| Predicate | hasCollectionOrder |
P127490
|
FINISHED |
| Object | C-sharp minor pair in chromatic sequence of WTC I |
—
|
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: C-sharp minor pair in chromatic sequence of WTC I | Statement: [BWV 849, hasCollectionOrder, C-sharp minor pair in chromatic sequence of WTC I]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCollectionOrder Context triple: [BWV 849, hasCollectionOrder, C-sharp minor pair in chromatic sequence of WTC I]
-
A.
hasElementOrder
Indicates that one entity is ordered or ranked relative to another within a sequence or hierarchy.
-
B.
hasColumnOrder
Indicates that one column in a sequence is positioned before or after another column, specifying their relative ordering.
-
C.
areOrderedBy
Indicates that a set of items is arranged or sequenced according to a specified criterion or ordering rule.
-
D.
hasCanonicalOrdering
Indicates that there is a standard, agreed-upon sequence in which the related elements should be arranged or considered.
-
E.
hasOrderStructure
chosen
Indicates that there is a defined ordering relation imposed on the elements of a set or collection, specifying how they are arranged or compared in terms of order.
- 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_69f76ddb3a708190b521ba2970b17178 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a016960819093ed4990fb4d9d36 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:02 p.m.