Triple
T23543812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bashkir Arabic alphabet |
E577830
|
entity |
| Predicate | successorWritingSystem |
P50932
|
FINISHED |
| Object | Cyrillic-based orthography for Bashkir |
—
|
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: Cyrillic-based orthography for Bashkir | Statement: [Bashkir Arabic alphabet, successorWritingSystem, Cyrillic-based orthography for Bashkir]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorWritingSystem Context triple: [Bashkir Arabic alphabet, successorWritingSystem, Cyrillic-based orthography for Bashkir]
-
A.
writingSystemDevelopedFrom
Indicates that one writing system originated, evolved, or was derived from another earlier writing system.
-
B.
laterNumberingSystem
Indicates that one numbering system was adopted or used after another, reflecting a subsequent or more recent scheme of numbering.
-
C.
writingSystemDevelopedFor
Indicates that a particular writing system was created or adapted specifically to be used for a given language, community, or purpose.
-
D.
successorSystem
chosen
Indicates that one system directly follows and replaces another in function, role, or version.
-
E.
successorCharacter
Indicates that one character directly follows another in a sequence, such as in text, ordering, or narrative progression.
- 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_69e245f9d5d08190a4a20004e1784e20 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ae1dbe188190bc4afe7bfa7cda0f |
completed | April 29, 2026, 7:07 a.m. |
| PD | Predicate disambiguation | batch_69f118afabd88190bd88f49597d120e8 |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:11 p.m.