Triple
T14481081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De docta ignorantia |
E359101
|
entity |
| Predicate | subjectOfBook1 |
P114367
|
FINISHED |
| Object | knowledge of God and the Trinity |
—
|
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: knowledge of God and the Trinity | Statement: [De docta ignorantia, subjectOfBook1, knowledge of God and the Trinity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectOfBook1 Context triple: [De docta ignorantia, subjectOfBook1, knowledge of God and the Trinity]
-
A.
book2Subject
Indicates that an entity serves as the subject or topic that a given book is about.
-
B.
book4Subject
Indicates that something is the subject or topic that a particular book is about.
-
C.
book1Contains
Indicates that one book includes, encloses, or has as part of its content another specified element or section.
-
D.
book3Subject
Indicates that an entity serves as the third subject or topic discussed or treated in a particular book.
-
E.
book5Subject
Indicates that an entity serves as the subject (main topic or focus) of the fifth book in a series or 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de924bc548819087a2f693840d7426 |
completed | April 14, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69de5c487b4c819097803e58dca628a5 |
completed | April 14, 2026, 3:24 p.m. |
| PDg | Predicate description generation | batch_69de5fb4de14819092acdecbd201d672 |
completed | April 14, 2026, 3:39 p.m. |
Created at: April 10, 2026, 1:20 a.m.