Triple
T10258601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 42-line Bible |
E240536
|
entity |
| Predicate | survivingCopiesApproximate |
P90324
|
FINISHED |
| Object | fewer than 50 complete 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: fewer than 50 complete copies | Statement: [42-line Bible, survivingCopiesApproximate, fewer than 50 complete copies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: survivingCopiesApproximate Context triple: [42-line Bible, survivingCopiesApproximate, fewer than 50 complete copies]
-
A.
haveApproximateCompleteCopies
Indicates that one entity possesses nearly full, but not necessarily perfectly exact, copies of another entity.
-
B.
mineCountApproximate
Indicates that the number of mines associated with an entity is estimated or roughly counted rather than known exactly.
-
C.
holdsApproximatelyFor
Indicates that a condition, relation, or value is valid only to an approximate degree or within a tolerance, rather than holding exactly.
-
D.
approximates
Indicates that one entity is close to, but not exactly equal to, the value, form, or behavior of another entity.
-
E.
containsApproximately
chosen
Indicates that one entity holds or includes another entity in a quantity or proportion that is close to, but not exactly, a specified amount.
- 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.