Triple
T135507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turkish language |
E2737
|
entity |
| Predicate | scriptAfterReform |
P5211
|
FINISHED |
| Object | Latin-based Turkish alphabet |
—
|
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: Latin-based Turkish alphabet | Statement: [Turkish language, scriptAfterReform, Latin-based Turkish alphabet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptAfterReform Context triple: [Turkish language, scriptAfterReform, Latin-based Turkish alphabet]
-
A.
reconstructedAfter
Indicates that one entity has been rebuilt, restored, or reassembled following the occurrence or existence of another entity or event.
-
B.
reorganizedAs
Indicates that an existing entity has been restructured or reconfigured into a new organizational form or arrangement.
-
C.
redesigned
Indicates that an entity has been modified or created anew in terms of its structure, appearance, or functionality, replacing a previous design.
-
D.
reorganized
Indicates that an entity has changed the structure, order, or arrangement of another entity or set of entities from a previous configuration.
-
E.
refit
Indicates that an existing object or structure is being modified, repaired, or equipped with new parts or features to restore or improve its function.
- 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_69a2520c0f3481908b0ed054a2fca8d0 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a257a3ad908190b6a8652f09ae0cbb |
completed | Feb. 28, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69a25651b9048190a6277b7fec98c1ea |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a256c72f6c81909b619b90d829d86e |
completed | Feb. 28, 2026, 2:45 a.m. |
Created at: Feb. 28, 2026, 2:30 a.m.