Triple
T5860139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karachays |
E130254
|
entity |
| Predicate | formerScriptUsed |
P48489
|
FINISHED |
| Object | Arabic script |
—
|
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 | Statement: [Karachays, formerScriptUsed, Arabic script]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerScriptUsed Context triple: [Karachays, formerScriptUsed, Arabic script]
-
A.
formerScript
Indicates that an entity previously served as the script or writing system for another entity, but is no longer used in that role.
-
B.
formerProgram
Indicates that an entity previously held the role or status of a program but no longer does so.
-
C.
scriptUsedCurrently
Indicates that a particular writing system or script is the one presently in use for a given language, text, or context.
-
D.
formerlyUsedBy
chosen
Indicates that an entity was used by another entity in the past but is no longer in use by that entity.
-
E.
formerFunction
Indicates that an entity previously held a specific role, position, or function but no longer does so.
- 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_69c0084f3bb08190a7720f55f7aa4252 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c044ab0a048190b84be40fb13c0f50 |
completed | March 22, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69c03345ca0c819081c81148d054fed2 |
completed | March 22, 2026, 6:21 p.m. |
Created at: March 22, 2026, 3:56 p.m.