Triple
T2157754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gutenberg Bible copies |
E47929
|
entity |
| Predicate | areAmongMostValuablePrintedBooks |
P36320
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Gutenberg Bible copies, areAmongMostValuablePrintedBooks, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areAmongMostValuablePrintedBooks Context triple: [Gutenberg Bible copies, areAmongMostValuablePrintedBooks, yes]
-
A.
traditionalBooks
Indicates that the relationship or action involves conventional, physical print books as opposed to digital or alternative formats.
-
B.
notableEdition
Indicates that a particular edition or version of a work is especially significant or noteworthy in relation to that work.
-
C.
notableEditionYear
Indicates the year in which a particular edition of something (such as a work, product, or publication) is considered notable or significant.
-
D.
estimatedCopiesPrinted
Indicates the approximate number of copies of an item that have been printed.
-
E.
firstEditionVolumes
Indicates that the subject is a work or publication and the object is the number of volumes in its first edition.
- F. None of above. chosen
Provenance (4 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_69a88a1d1fd8819088b34990d69a712f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe68fe0c8190beb5db003738a6e5 |
completed | March 7, 2026, 5:58 a.m. |
| PD | Predicate disambiguation | batch_69abbd9a60648190b20b116be5c7ad98 |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abbe4252688190944491a450383450 |
completed | March 7, 2026, 5:57 a.m. |
Created at: March 4, 2026, 7:44 p.m.