Triple
T13131596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Canon of Medicine |
E311976
|
entity |
| Predicate | book3Covers |
P83268
|
FINISHED |
| Object | diseases of specific organs |
—
|
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: diseases of specific organs | Statement: [The Canon of Medicine, book3Covers, diseases of specific organs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: book3Covers Context triple: [The Canon of Medicine, book3Covers, diseases of specific organs]
-
A.
book3Title
Indicates the title assigned to the third book in a sequence or collection associated with an entity.
-
B.
book3Theme
chosen
Indicates that a theme is associated with or expressed in the third book of a series or collection.
-
C.
book1Contains
Indicates that one book includes, encloses, or has as part of its content another specified element or section.
-
D.
book5Content
Indicates that one entity is the content or textual material contained within the book represented by the other entity.
-
E.
book3Subject
Indicates that an entity serves as the third subject or topic discussed or treated in a particular book.
- 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.