Triple
T12918048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fugue in E-flat major, BWV 852 |
E309040
|
entity |
| Predicate | collectionBook |
P5478
|
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: [Fugue in E-flat major, BWV 852, collectionBook, Book I]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collectionBook Context triple: [Fugue in E-flat major, BWV 852, collectionBook, Book I]
-
A.
libraryCatalog
Indicates a relationship where a library’s catalog system organizes, indexes, and provides access information for the items held in the library’s collection.
-
B.
bookSelection
Indicates the act or result of choosing a particular book from a set of available options.
-
C.
bookCategory
Indicates the classification or genre category to which a given book belongs.
-
D.
containsBook
chosen
Indicates that one entity (typically a container or collection) includes a specific book as part of its contents.
-
E.
book
Indicates that an agent reserves or schedules a service, event, or resource for future use.
- 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.