Triple
T29263516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kangxi Dictionary |
E741912
|
entity |
| Predicate | isCanonicalSourceFor |
P134129
|
FINISHED |
| Object | Kangxi radical list |
—
|
NE NERFINISHED |
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: Kangxi radical list | Statement: [Kangxi Dictionary, isCanonicalSourceFor, Kangxi radical list]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCanonicalSourceFor Context triple: [Kangxi Dictionary, isCanonicalSourceFor, Kangxi radical list]
-
A.
isCanonical
Indicates that something represents the standard, authoritative, or officially accepted form within a given context or system.
-
B.
hasCanonicalLanguageSource
chosen
Indicates that something is derived from, based on, or defined according to an officially recognized or standard language source.
-
C.
isCanonicalOn
Indicates that something is recognized as the standard or authoritative form of another entity within a given context.
-
D.
isContemporarySourceFor
Indicates that one entity serves as a source of information that originates from the same time period as the other entity or event it documents.
-
E.
isCanonicalWithRespectTo
Indicates that something conforms to, or is expressed in, a standard or authoritative form relative to a specified framework, reference, or set of rules.
- 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_69f0912065c08190bddd23e20e8ef18e |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f664dd47488190946f9a3f9c4a7d24 |
completed | May 2, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69f660f2e3708190ab658652bcfc04d0 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 12:43 p.m.