Triple
T2297500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ESV Pew Bible |
E51650
|
entity |
| Predicate | isbnType |
P39051
|
FINISHED |
| Object | multiple ISBNs for different bindings |
—
|
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: multiple ISBNs for different bindings | Statement: [ESV Pew Bible, isbnType, multiple ISBNs for different bindings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isbnType Context triple: [ESV Pew Bible, isbnType, multiple ISBNs for different bindings]
-
A.
isbn
Indicates that a publication is associated with a specific International Standard Book Number (ISBN) that uniquely identifies it.
-
B.
isbn13
Indicates that the subject has the specified 13-digit International Standard Book Number (ISBN-13) as its unique identifier.
-
C.
isbnFirstEnglishEdition
Indicates that the object is the ISBN identifier corresponding to the first English-language edition of the subject work.
-
D.
libraryType
Indicates the specific category or classification of a library based on its function, scope, or organizational role.
-
E.
issn
Indicates that an entity is associated with a specific International Standard Serial Number (ISSN), identifying it as a particular serial publication.
- 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_69a88b0a9f248190bcff941463d8f65a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abcd0e42248190ada33b84d75caa64 |
completed | March 7, 2026, 7 a.m. |
| PD | Predicate disambiguation | batch_69abc589295c819092989820c2b4e9d8 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abcd0d01ac8190935fe904905cb233 |
completed | March 7, 2026, 7 a.m. |
Created at: March 4, 2026, 7:49 p.m.