Triple
T35593447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turkish |
E1028562
|
entity |
| Predicate | scriptReformYear |
P192524
|
FINISHED |
| Object | 1928 |
—
|
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: 1928 | Statement: [Turkish, scriptReformYear, 1928]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptReformYear Context triple: [Turkish, scriptReformYear, 1928]
-
A.
renamedYear
Indicates the year in which an entity underwent a renaming or change of name.
-
B.
redefinitionYear
Indicates the year in which something was redefined, such as when its definition, scope, or formal status was officially changed.
-
C.
recastInYear
Indicates that an existing work, role, or production was cast again with different performers in a specified year.
-
D.
reassignmentYear
Indicates the year in which something was reassigned from one status, owner, role, or category to another.
-
E.
replacesDocumentFromYear
Indicates that one document takes the place of or supersedes another document that originates from a specified year.
- 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_69f76e0598dc8190a6a093e904b9aa70 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd0d0ba5c48190bddb3f0e6637544c |
completed | May 7, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69fd0c4324a8819086c90adf46216e0e |
completed | May 7, 2026, 10:03 p.m. |
| PDg | Predicate description generation | batch_69fd0d0aebac8190868a7714ddb4f1fd |
completed | May 7, 2026, 10:07 p.m. |
Created at: May 3, 2026, 4:05 p.m.