Triple
T10258599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 42-line Bible |
E240536
|
entity |
| Predicate | hasApproximatePaperCopies |
P12799
|
FINISHED |
| Object | about 150 copies |
—
|
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 150 copies | Statement: [42-line Bible, hasApproximatePaperCopies, about 150 copies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximatePaperCopies Context triple: [42-line Bible, hasApproximatePaperCopies, about 150 copies]
-
A.
estimatedCopiesPrinted
chosen
Indicates the approximate number of copies of an item that have been printed.
-
B.
numberOfManuscriptsApprox
Indicates an approximate count of manuscripts associated with an entity.
-
C.
hasPageCountApprox
Indicates that an entity is associated with an approximate or estimated number of pages, rather than an exact page count.
-
D.
printedEditions
Indicates that one entity has produced or issued physical printed versions (editions) of another entity.
-
E.
hasPrintVersion
Indicates that one entity exists or is available as a printed or physical edition of another entity.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2b5853081909cd0397e08a0f44d |
completed | April 7, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69d4d1edae6881909a65201b8e51ea0a |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:31 a.m.