Triple
T7728100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hui people |
E175182
|
entity |
| Predicate | majorityScript |
P14653
|
FINISHED |
| Object | Chinese characters |
—
|
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: Chinese characters | Statement: [Hui people, majorityScript, Chinese characters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorityScript Context triple: [Hui people, majorityScript, Chinese characters]
-
A.
majorityVote
Indicates that a decision or outcome is determined by the option receiving more than half of the votes among a group.
-
B.
majorityDenomination
Indicates that a specified religious denomination constitutes the largest share of a given population or group.
-
C.
majorityType
chosen
Indicates that one type or category constitutes more than half of the instances within a given set or context.
-
D.
hasMajorityOf
Indicates that one entity possesses or controls more than half of the total quantity, members, or share of another entity.
-
E.
majorityHolding
Indicates that one entity owns more than half of another entity’s voting shares or equity, giving it effective control over that 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_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.