Triple
T9669036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Book 2 (The City of God) |
E233978
|
entity |
| Predicate | belongsToWorkType |
P86785
|
FINISHED |
| Object | late antique Christian apologetic literature |
—
|
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: late antique Christian apologetic literature | Statement: [Book 2 (The City of God), belongsToWorkType, late antique Christian apologetic literature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToWorkType Context triple: [Book 2 (The City of God), belongsToWorkType, late antique Christian apologetic literature]
-
A.
belongsToWorkBy
Indicates that something is part of, or associated with, a work that was created by a specific agent or creator.
-
B.
associatedWorkType
chosen
Indicates the type or category of work with which an entity is associated (e.g., publication, artwork, performance).
-
C.
originallyFromWorkType
Indicates that one entity was derived, adapted, or sourced from an original work of a specified type (e.g., book, film, artwork).
-
D.
hasWorkforceType
Indicates the type or category of workforce associated with an entity (such as permanent, temporary, contract, or part-time).
-
E.
partOfWorkType
Indicates that something is a component, subtype, or specific category within a broader type of work.
- 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.