Triple
T35367572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shigeru Nakamura |
E1021675
|
entity |
| Predicate | partOfNamingCulture |
P63295
|
FINISHED |
| Object | Japanese naming conventions |
—
|
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: Japanese naming conventions | Statement: [Shigeru Nakamura, partOfNamingCulture, Japanese naming conventions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfNamingCulture Context triple: [Shigeru Nakamura, partOfNamingCulture, Japanese naming conventions]
-
A.
culturalName
Indicates that an entity has a name or designation used specifically within a particular culture or cultural context.
-
B.
countryOfNamingTradition
chosen
Indicates the country whose cultural or linguistic naming conventions are used to form or interpret a given name.
-
C.
partOfOnomasticsCategory
Indicates that one concept or term belongs to, or is classified under, a specific category within the field of onomastics (the study of names).
-
D.
namedForCulturalRegion
Indicates that something is given a name derived from or honoring a specific cultural region.
-
E.
culturalIdentifier
Indicates that one entity serves as a marker, label, or attribute that identifies or characterizes the cultural affiliation, background, or context of another entity.
- 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_69f76df000488190ab7c97f565677055 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a0082989e6c819099fea0e706332e37 |
completed | May 10, 2026, 1:05 p.m. |
| PD | Predicate disambiguation | batch_6a0081ed6a1481908baf472876e28db9 |
completed | May 10, 2026, 1:02 p.m. |
Created at: May 3, 2026, 4:03 p.m.