Triple
T33674195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qiyang Xiang |
E862711
|
entity |
| Predicate | standardLanguageForWriting |
P6195
|
FINISHED |
| Object | Standard Chinese |
—
|
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: Standard Chinese | Statement: [Qiyang Xiang, standardLanguageForWriting, Standard Chinese]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: standardLanguageForWriting Context triple: [Qiyang Xiang, standardLanguageForWriting, Standard Chinese]
-
A.
standardLanguageOf
Indicates that one entity serves as the officially recognized or commonly used standard language for another entity (such as a country, region, or organization).
-
B.
languageStandard
chosen
Indicates that one entity conforms to, is defined by, or is governed by the language rules, specifications, or conventions established by another entity as a standard.
-
C.
majorStandardLanguage
Indicates that a language is the primary or most widely used standard language associated with an entity (such as a country, region, or group).
-
D.
standardLanguageBasisFor
Indicates that one language serves as the normative or reference standard upon which another language variety, form, or usage is based.
-
E.
canonicalLanguage
Indicates that one entity is the officially recognized or standard language associated with 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_69f34985885c8190914322f492e04703 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fbbc49da8c8190902bbb05d2477cab |
completed | May 6, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69fbb13f34b08190bbbb220ac1e6e666 |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 1, 2026, 1:43 a.m.