Triple
T30447208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yi Radicals |
E774610
|
entity |
| Predicate | belongsToStandardSection |
P47399
|
FINISHED |
| Object | CJK and other East Asian scripts |
—
|
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: CJK and other East Asian scripts | Statement: [Yi Radicals, belongsToStandardSection, CJK and other East Asian scripts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToStandardSection Context triple: [Yi Radicals, belongsToStandardSection, CJK and other East Asian scripts]
-
A.
usesSectionOf
Indicates that one entity makes use of a specific section or part of another entity.
-
B.
isReferenceSectionFor
Indicates that one entity serves as the reference section or reference part specifically associated with another entity.
-
C.
associatedWithSection
chosen
Indicates that one entity is linked or connected to a particular section within a larger structure or context.
-
D.
appliesToSectionOf
Indicates that something is relevant or applicable specifically to a particular section or subsection of a larger whole.
-
E.
isNamedSectionOf
Indicates that one entity is a specifically named section or subdivision that forms part 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_69f22493ef9c8190ae8c2afcb7f994c8 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fe00dad1708190b6522476bebb43af |
completed | May 8, 2026, 3:27 p.m. |
| PD | Predicate disambiguation | batch_69fdfc3717f48190bb50ac2919c8ef95 |
completed | May 8, 2026, 3:07 p.m. |
Created at: April 29, 2026, 8:09 p.m.