Triple
T10160758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christianismi Restitutio |
E233882
|
entity |
| Predicate | copiesPrinted |
P12799
|
FINISHED |
| Object | about 1000 |
—
|
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: about 1000 | Statement: [Christianismi Restitutio, copiesPrinted, about 1000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: copiesPrinted Context triple: [Christianismi Restitutio, copiesPrinted, about 1000]
-
A.
estimatedCopiesPrinted
chosen
Indicates the approximate number of copies of an item that have been printed.
-
B.
printedBy
Indicates that one entity is produced or output in physical or digital form by another entity acting as the printer or printing agent.
-
C.
printedFor
Indicates that one entity produced a printed version of something specifically intended for another entity as the recipient or audience.
-
D.
printedOn
Indicates that something is produced or reproduced in physical form on a specified material, surface, or medium.
-
E.
printedInColor
Indicates that something was produced or reproduced using multiple ink colors rather than only black-and-white.
- 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_69ca848e80748190b91d1e04d35512c7 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec5831e481909b48fdfa8f1c670b |
completed | April 2, 2026, 4:11 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba795808190acc9124c98c6e40f |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:09 p.m.