Triple
T18698797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dongxiang |
E457190
|
entity |
| Predicate | writingSystemTraditionallyUsed |
P26603
|
FINISHED |
| Object | Arabic script (for religious purposes) |
—
|
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: Arabic script (for religious purposes) | Statement: [Dongxiang, writingSystemTraditionallyUsed, Arabic script (for religious purposes)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: writingSystemTraditionallyUsed Context triple: [Dongxiang, writingSystemTraditionallyUsed, Arabic script (for religious purposes)]
-
A.
writingSystemUsedIn
chosen
Indicates that a particular writing system is employed for written communication within a given language, region, or context.
-
B.
writingSystem
Indicates that one entity is the script or system of written symbols used to represent the language or content of another entity.
-
C.
writingSystemDevelopedFor
Indicates that a particular writing system was created or adapted specifically to be used for a given language, community, or purpose.
-
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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e562ea4ee48190b18a29553371f31a |
completed | April 19, 2026, 11:19 p.m. |
| PD | Predicate disambiguation | batch_69e478de85088190ba5f005f1d39f587 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:49 a.m.