Triple
T30885846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jōjitsu school |
E786759
|
entity |
| Predicate | languageOfDoctrine |
P35781
|
FINISHED |
| Object | Classical Chinese |
—
|
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: Classical Chinese | Statement: [Jōjitsu school, languageOfDoctrine, Classical Chinese]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfDoctrine Context triple: [Jōjitsu school, languageOfDoctrine, Classical Chinese]
-
A.
languageOfReligion
Indicates the language in which a particular religion is traditionally expressed, practiced, or documented.
-
B.
doctrineOf
Indicates a relationship where one entity is the doctrinal teaching, principle, or belief system associated with, derived from, or formally held by another entity.
-
C.
languageOfCreeds
Indicates the language in which formal creeds, confessions, or doctrinal statements are expressed or officially formulated.
-
D.
languageOfTheology
chosen
Indicates that a specified language is used as the medium for expressing, studying, or conducting theology in relation to a given religious or theological context.
-
E.
doctrinalDomain
Indicates the specific area of doctrine or body of teachings within which a belief, statement, or rule is classified.
- 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_69f224bbfa7c81908448e0c261c523e3 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69ff46afe7e481908f2862ed11c88db2 |
completed | May 9, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69ff45e9151881909c444a655e852165 |
completed | May 9, 2026, 2:34 p.m. |
Created at: April 29, 2026, 8:49 p.m.