Triple
T13399193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uyghur Cyrillic alphabet |
E319781
|
entity |
| Predicate | usedForEducation |
P23523
|
FINISHED |
| Object | Uyghur schools in Soviet Union |
—
|
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: Uyghur schools in Soviet Union | Statement: [Uyghur Cyrillic alphabet, usedForEducation, Uyghur schools in Soviet Union]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedForEducation Context triple: [Uyghur Cyrillic alphabet, usedForEducation, Uyghur schools in Soviet Union]
-
A.
hasEducationalUse
Indicates that something is intended to be used for educational or instructional purposes.
-
B.
usedInEducationIn
chosen
Indicates that something is employed or applied within educational contexts in a particular place or institution.
-
C.
educationUse
Indicates the use or application of something specifically for educational purposes or in an educational context.
-
D.
usedForReligiousEducation
Indicates that something is employed as a means or resource for teaching, learning, or instruction in religious beliefs, practices, or traditions.
-
E.
hasEducationalDimension
Indicates that something includes, involves, or contributes to an educational aspect, purpose, or impact within the relationship or context described.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbae47e99081909d8b5dba97a11988 |
completed | April 12, 2026, 2:38 p.m. |
| PD | Predicate disambiguation | batch_69d9a0355de48190bb3fb96912e20df3 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:34 p.m.