Triple
T34607690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fugaku Sanjūrokkei |
E888638
|
entity |
| Predicate | hasAdditionalPrints |
P195009
|
FINISHED |
| Object | 10 later added views |
—
|
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: 10 later added views | Statement: [Fugaku Sanjūrokkei, hasAdditionalPrints, 10 later added views]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAdditionalPrints Context triple: [Fugaku Sanjūrokkei, hasAdditionalPrints, 10 later added views]
-
A.
hasSurvivingPrints
Indicates that there exist one or more extant physical print copies of the referenced work or item.
-
B.
hasImprintVariant
Indicates that one imprint (a specific published form of a work) is a variant version of another imprint.
-
C.
hasPrintVersion
Indicates that one entity exists or is available as a printed or physical edition of another entity.
-
D.
hadImprint
Indicates that one entity bears or once bore a physical or symbolic mark, stamp, or impression produced by another entity.
-
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. 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_69f349d489d48190ba30e7d97c6f5ef9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd974d75e08190af46b1d608769f3b |
completed | May 8, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69fd94ff792c8190bedf4a639d3da809 |
completed | May 8, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69fd974c0e8481909fdd312897c647b3 |
completed | May 8, 2026, 7:57 a.m. |
Created at: May 1, 2026, 2:03 a.m.