Triple
T12918026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prelude in E-flat major, BWV 852 |
E309039
|
entity |
| Predicate | hasOrderingWithinWTCI |
P1109
|
FINISHED |
| Object | No. 7 |
—
|
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: No. 7 | Statement: [Prelude in E-flat major, BWV 852, hasOrderingWithinWTCI, No. 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOrderingWithinWTCI Context triple: [Prelude in E-flat major, BWV 852, hasOrderingWithinWTCI, No. 7]
-
A.
hasOrderingMethod
Indicates that there is a specific method or procedure used to place or arrange an order for something.
-
B.
hasColumnOrder
Indicates that one column in a sequence is positioned before or after another column, specifying their relative ordering.
-
C.
isOrderOf
Indicates that one entity specifies the sequence, arrangement, or ranking in which elements of another entity are organized or occur.
-
D.
hasOrder
chosen
Indicates that one entity possesses, is associated with, or is characterized by a specific order, sequence, or arrangement relative to others.
-
E.
columnOrderUsed
Indicates that a specific ordering of columns is applied or relied upon in a given context or operation.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971a1e8088190af697629baecf59f |
completed | April 10, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69d96fa9b7708190a9e9fa30f59ff580 |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:41 p.m.