Triple
T18272852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liber ad Almansorem |
E437656
|
entity |
| Predicate | ninthBookSubject |
P131130
|
FINISHED |
| Object | practical therapeutics |
—
|
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: practical therapeutics | Statement: [Liber ad Almansorem, ninthBookSubject, practical therapeutics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ninthBookSubject Context triple: [Liber ad Almansorem, ninthBookSubject, practical therapeutics]
-
A.
book5Subject
Indicates that an entity serves as the subject (main topic or focus) of the fifth book in a series or collection.
-
B.
book4Subject
Indicates that something is the subject or topic that a particular book is about.
-
C.
book3Subject
Indicates that an entity serves as the third subject or topic discussed or treated in a particular book.
-
D.
book2Subject
Indicates that an entity serves as the subject or topic that a given book is about.
-
E.
book9Focus
Indicates that attention, emphasis, or primary focus is directed toward the book identified as book9.
- 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5004f0e7c8190a7206e193012a2d3 |
completed | April 19, 2026, 4:18 p.m. |
| PD | Predicate disambiguation | batch_69e44fd81c788190b08c6be3b07a08c5 |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e451a0ba208190a5fe92832a8f7a49 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 10:34 a.m.