Triple
T34607691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fugaku Sanjūrokkei |
E888638
|
entity |
| Predicate | totalNumberOfPrintsIncludingAdditions |
P12799
|
FINISHED |
| Object | 46 |
—
|
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: 46 | Statement: [Fugaku Sanjūrokkei, totalNumberOfPrintsIncludingAdditions, 46]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalNumberOfPrintsIncludingAdditions Context triple: [Fugaku Sanjūrokkei, totalNumberOfPrintsIncludingAdditions, 46]
-
A.
estimatedCopiesPrinted
chosen
Indicates the approximate number of copies of an item that have been printed.
-
B.
printedFor
Indicates that one entity produced a printed version of something specifically intended for another entity as the recipient or audience.
-
C.
printedOn
Indicates that something is produced or reproduced in physical form on a specified material, surface, or medium.
-
D.
isPrinted
Indicates that a physical copy of an item has been produced using a printing process.
-
E.
overprints
Indicates that one entity is printed or superimposed on top of another, partially or completely covering the underlying material or pattern.
- 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_69f349d489d48190ba30e7d97c6f5ef9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 1, 2026, 2:03 a.m.