Triple
T13131594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Canon of Medicine |
E311976
|
entity |
| Predicate | book1Covers |
P80927
|
FINISHED |
| Object | general principles of medicine |
—
|
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: general principles of medicine | Statement: [The Canon of Medicine, book1Covers, general principles of medicine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: book1Covers Context triple: [The Canon of Medicine, book1Covers, general principles of medicine]
-
A.
earliestBooksCover
Indicates that the cover image or design is taken from the earliest edition(s) of the referenced books.
-
B.
book1Contains
chosen
Indicates that one book includes, encloses, or has as part of its content another specified element or section.
-
C.
containsBook
Indicates that one entity (typically a container or collection) includes a specific book as part of its contents.
-
D.
isCoverOf
Indicates that one entity functions as a protective or enclosing layer placed over another entity.
-
E.
bookCategory
Indicates the classification or genre category to which a given book belongs.
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d981b27a8c81909a92ab7be5d3a7e9 |
completed | April 10, 2026, 11:03 p.m. |
| PD | Predicate disambiguation | batch_69d98043a74c81908648e6cd0b4c7f71 |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 9:08 p.m.