Triple
T453330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Standard Chinese |
E7177
|
entity |
| Predicate | writingConventions |
P6184
|
FINISHED |
| Object | Simplified Chinese in mainland China |
—
|
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: Simplified Chinese in mainland China | Statement: [Standard Chinese, writingConventions, Simplified Chinese in mainland China]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: writingConventions Context triple: [Standard Chinese, writingConventions, Simplified Chinese in mainland China]
-
A.
writingTradition
Indicates a relationship where an entity is associated with, follows, or belongs to a particular system or style of written expression or script usage.
-
B.
typingDiscipline
Indicates how a programming language enforces and manages type rules for its values and expressions.
-
C.
notation
chosen
Indicates a conventional way of symbolically representing or writing something, such as concepts, quantities, or operations, within a specific system.
-
D.
writingTool
Indicates that one entity serves as a tool or instrument used by another entity for the act of writing.
-
E.
writtenIn
Indicates that a work (such as a text, program, or document) is expressed or encoded using a particular language or notation.
- 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_69a2e7e4676c81909ea0dbdecac0687c |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ef866e848190a5b700250ec56256 |
completed | Feb. 28, 2026, 1:37 p.m. |
| PD | Predicate disambiguation | batch_69a2ede3187c8190a7ced078f0ec3476 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.