Triple
T9669077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Book 4 (The City of God) |
E233979
|
entity |
| Predicate | partOfTotalBooks |
P5481
|
FINISHED |
| Object | 22 |
—
|
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: 22 | Statement: [Book 4 (The City of God), partOfTotalBooks, 22]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfTotalBooks Context triple: [Book 4 (The City of God), partOfTotalBooks, 22]
-
A.
numberOfBooks
chosen
Indicates the quantity of books associated with a given entity.
-
B.
partOfLibrary
Indicates that one entity is a component, section, or item belonging to or contained within a library.
-
C.
partOfBook
Indicates that one entity is a component or section contained within a larger book entity.
-
D.
numberOfCompletedBooks
Indicates the total count of books that an entity has finished reading or completing.
-
E.
intendedNumberOfBooks
Indicates the number of books that an agent plans or aims to have, produce, read, or otherwise be associated with, as opposed to the number actually realized.
- 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_69ca848f55e48190b3f67252571c3d45 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c3d5b3481908c8c66a3528875aa |
completed | April 1, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b3239c8190b3ae3b9bd121e4bd |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:15 p.m.