Triple
T18091603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Confessions (Augustine) |
E432982
|
entity |
| Predicate | bookFocus |
P21671
|
FINISHED |
| Object | Book I–IX: autobiographical narrative |
—
|
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–IX: autobiographical narrative | Statement: [Confessions (Augustine), bookFocus, Book I–IX: autobiographical narrative]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bookFocus Context triple: [Confessions (Augustine), bookFocus, Book I–IX: autobiographical narrative]
-
A.
book2Focus
chosen
Indicates that attention, interest, or emphasis is directed toward a particular book.
-
B.
book4Focus
Indicates that something is the primary subject or focal point of a book or written work.
-
C.
bookSelection
Indicates the act or result of choosing a particular book from a set of available options.
-
D.
book
Indicates that an agent reserves or schedules a service, event, or resource for future use.
-
E.
Book1Focus
Indicates that the primary attention, emphasis, or thematic concentration is placed on the first book in a set or sequence.
- 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dd18b55081909c416fb7186bd4a4 |
completed | April 19, 2026, 1:48 p.m. |
| PD | Predicate disambiguation | batch_69e4330e1f2881908b2506d47c48736b |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:27 a.m.