Triple
T11871321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chángzhēng |
E282412
|
entity |
| Predicate | isUsedInAcademicTexts |
P64192
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Chángzhēng, isUsedInAcademicTexts, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isUsedInAcademicTexts Context triple: [Chángzhēng, isUsedInAcademicTexts, yes]
-
A.
usedInManuscripts
Indicates that something (such as a term, symbol, or feature) appears or is employed within one or more manuscripts.
-
B.
scholarlyUse
Indicates that something is used for academic, educational, or research-related purposes.
-
C.
academicUse
chosen
Indicates that something is intended for, suitable for, or used within an academic or educational context.
-
D.
isStudiedUsing
Indicates that something serves as the method, tool, or approach by which something else is examined, analyzed, or researched.
-
E.
isAcademicJournal
Indicates that the entity functions as an academic journal, i.e., a periodical publication that disseminates scholarly research.
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8d39d2934819093b9f7006f45e5cb |
completed | April 10, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69d8bb272f88819090c37c944c5a60ab |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:43 p.m.