Triple
T1940321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Latin script (Azerbaijan) |
E41536
|
entity |
| Predicate | replacedScript |
P34177
|
FINISHED |
| Object | Cyrillic script (Azerbaijani) |
—
|
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 script (Azerbaijani) | Statement: [Latin script (Azerbaijan), replacedScript, Cyrillic script (Azerbaijani)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: replacedScript Context triple: [Latin script (Azerbaijan), replacedScript, Cyrillic script (Azerbaijani)]
-
A.
replacedWith
Indicates that one entity has been substituted or superseded by another entity, taking over its role, function, or position.
-
B.
replacedDocument
Indicates that one document has been superseded or substituted by another document.
-
C.
replacedBody
Indicates that one entity has taken the place of another entity’s body, substituting it in whole or in part.
-
D.
replacedProcess
Indicates that one process has been substituted or superseded by another process.
-
E.
replacedStandard
Indicates that one standard has been superseded or taken the place of another standard.
- F. None of above. chosen
Provenance (4 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_69a88649b24c819080047f26b6db2ded |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb32d35508190bf1c487dffbecaf0 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abaff25a588190bb4cbc8df9fc6d64 |
completed | March 7, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69abb32a8d548190a231c7c2ce276a5e |
completed | March 7, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:36 p.m.