Triple
T7728098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hui people |
E175182
|
entity |
| Predicate | ethnonymInChinese |
P4878
|
FINISHED |
| Object | 回族 |
—
|
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: 回族 | Statement: [Hui people, ethnonymInChinese, 回族]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnonymInChinese Context triple: [Hui people, ethnonymInChinese, 回族]
-
A.
ethnonymInLanguage
Indicates that a given term is the name used in a specified language to refer to the people of a particular ethnic group or nationality.
-
B.
ethnonym
Indicates that one entity is the name of an ethnic group used to refer to the people associated with another entity.
-
C.
ethnonymAttestedIn
Indicates that the name of an ethnic group (ethnonym) is documented or recorded in a specified source, context, or medium.
-
D.
nameInChinese
chosen
Indicates that an entity has a specific written name or label expressed in the Chinese language.
-
E.
ChineseNameSimplified
Indicates that an entity’s name is given in simplified Chinese characters.
- 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_69c6995e912c81909a49a2657103f786 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7074eca4c8190bd51fd1b450729e8 |
completed | March 27, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69c7016a6cf88190b53bf4b958f0f302 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:06 p.m.