Triple
T21692103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Book of Urizen |
E535394
|
entity |
| Predicate | hasManuscriptCopies |
P64328
|
FINISHED |
| Object | multiple extant copies with variant plates |
—
|
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 extant copies with variant plates | Statement: [The Book of Urizen, hasManuscriptCopies, multiple extant copies with variant plates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasManuscriptCopies Context triple: [The Book of Urizen, hasManuscriptCopies, multiple extant copies with variant plates]
-
A.
copiedManuscriptsOf
Indicates that one entity has produced or created handwritten reproductions of the manuscripts belonging to another entity.
-
B.
hasManuscriptsIn
Indicates that an entity possesses or is associated with manuscripts that are located in a specified place or collection.
-
C.
areManuscriptsOf
chosen
Indicates that the subject entities are manuscripts that are versions, copies, or instances of the work represented by the object entity.
-
D.
numberOfManuscriptsApprox
Indicates an approximate count of manuscripts associated with an entity.
-
E.
manuscriptsContainingWorks
Indicates that certain manuscripts include or contain specific works within them.
- 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_69e0c46a6ee481908836e1420fb78c9b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef96d0d4048190abfc3e3e06c51b8d |
completed | April 27, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69e6969113cc8190ab69855ef5667e4b |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:45 p.m.