Triple
T5983544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Asian languages |
E133173
|
entity |
| Predicate | writingSystemInfluencedBy |
P9874
|
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: [East Asian languages, writingSystemInfluencedBy, Chinese characters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: writingSystemInfluencedBy Context triple: [East Asian languages, writingSystemInfluencedBy, Chinese characters]
-
A.
writingSystemUsedIn
Indicates that a particular writing system is employed for written communication within a given language, region, or context.
-
B.
writingSystemDevelopedFrom
chosen
Indicates that one writing system originated, evolved, or was derived from another earlier writing system.
-
C.
writingSystem
Indicates that one entity is the script or system of written symbols used to represent the language or content of another entity.
-
D.
writingSystemHistorically
Indicates that one writing system was historically used for, associated with, or served as a predecessor to another writing system.
-
E.
writingSystemUsedSince
Indicates that a particular writing system has been in use starting from a specified point in time or period.
- 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_69c0086f45e8819098f73dd16d45ec9d |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04a6c4f2481909cdcf931331b3595 |
completed | March 22, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69c049de98648190962b14fd341c93da |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:04 p.m.