Triple
T12757043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prelude in D major, BWV 850 |
E304886
|
entity |
| Predicate | collectionVolume |
P106738
|
FINISHED |
| Object | Book 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: Book I | Statement: [Prelude in D major, BWV 850, collectionVolume, Book I]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collectionVolume Context triple: [Prelude in D major, BWV 850, collectionVolume, Book I]
-
A.
collectionSize
Indicates the total number of items contained within a specified collection.
-
B.
volumeOf
Indicates the quantitative three-dimensional space occupied by an entity or contained within an object.
-
C.
collectionBuiltAround
Indicates that a collection is organized, structured, or conceptually centered around a particular core item, theme, or entity.
-
D.
collectorStatus
Indicates the current operational or lifecycle state of a collector in relation to its collection activity.
-
E.
collectionTypeAccessed
Indicates that an entity has accessed or interacted with a particular type of collection.
- F. None of above. chosen
Provenance (4 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d8b57b88190b29b8fdca415c81c |
completed | April 10, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69d96406e97c8190b79081039847115c |
completed | April 10, 2026, 8:56 p.m. |
| PDg | Predicate description generation | batch_69d96d87078c819083ea724238992204 |
completed | April 10, 2026, 9:37 p.m. |
Created at: April 9, 2026, 5:27 p.m.