Triple
T10160759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christianismi Restitutio |
E233882
|
entity |
| Predicate | copiesSurviving |
P2248
|
FINISHED |
| Object | very few |
—
|
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: very few | Statement: [Christianismi Restitutio, copiesSurviving, very few]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: copiesSurviving Context triple: [Christianismi Restitutio, copiesSurviving, very few]
-
A.
survivingFrom
Indicates that one entity continues to live, exist, or remain after another related entity has ended, disappeared, or ceased to exist.
-
B.
survivesIn
Indicates that an entity remains alive, functional, or intact within a specified environment, condition, or context.
-
C.
survivesAs
Indicates that one entity continues to exist or persist in place of, or after the end or transformation of, another entity.
-
D.
hasSurvivingOriginals
chosen
Indicates that some of the original instances or versions of an entity still exist and have not been lost, destroyed, or replaced.
-
E.
survivingPortions
Indicates that certain parts or segments of something remain intact or extant after other portions have been lost, destroyed, or removed.
- 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.