Triple
T228393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turkish alphabet |
E4358
|
entity |
| Predicate | orthographicPrinciple |
P1757
|
FINISHED |
| Object | one letter per phoneme (approximate) |
—
|
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: one letter per phoneme (approximate) | Statement: [Turkish alphabet, orthographicPrinciple, one letter per phoneme (approximate)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orthographicPrinciple Context triple: [Turkish alphabet, orthographicPrinciple, one letter per phoneme (approximate)]
-
A.
formationPrinciple
Indicates the underlying rule, pattern, or principle according to which something is formed, structured, or brought into existence.
-
B.
hasStandardOrthographySince
Indicates that a language or writing system has used a particular standardized orthography starting from a specified point in time.
-
C.
hasOfficialOrthography
Indicates that an entity has a formally recognized and standardized system for writing its language or name.
-
D.
orientation
Indicates the relative directional alignment or facing of one entity with respect to another or to a reference frame.
-
E.
usesPrinciple
chosen
Indicates that one entity applies, relies on, or is based upon a particular principle in its functioning, reasoning, or design.
- 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_69a257363ffc81909757bde7ab3404da |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25d10ac248190a98dedabf5358668 |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b5877588190af694d060377f027 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.