Triple
T135508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turkish language |
E2737
|
entity |
| Predicate | reformDate |
P5212
|
FINISHED |
| Object | 1928 alphabet reform |
—
|
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 alphabet reform | Statement: [Turkish language, reformDate, 1928 alphabet reform]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reformDate Context triple: [Turkish language, reformDate, 1928 alphabet reform]
-
A.
date
Indicates that two entities are engaged in or participate in a romantic or social outing or relationship with each other.
-
B.
dateEnacted
Indicates the date on which a law, policy, or formal measure was officially put into effect or became legally operative.
-
C.
replacedCurrencyDate
Indicates the date on which one currency was officially replaced by another.
-
D.
movementDate
Indicates the date on which a movement, transfer, or relocation event occurs.
-
E.
rededicationDate
Indicates the date on which something is formally dedicated again, typically after restoration, change, or renewal.
- 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.