Triple
T35593439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turkish |
E1028562
|
entity |
| Predicate | numberOfVowels |
—
|
GENERATED |
| Object | 8 |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfVowels Context triple: [Turkish, numberOfVowels, 8]
-
A.
vowCount
Indicates the number of vows associated with or made within a given relationship, event, or context.
-
B.
hasNumberOfVowelLetters
chosen
Indicates that an entity is associated with a specific count of vowel letters it contains.
-
C.
hasNumberOfVowelSigns
Indicates the count of vowel signs associated with or present in a given linguistic unit (such as a character, syllable, or word).
-
D.
containsVowelLetters
Indicates that the subject includes one or more vowel letters within its sequence of characters.
-
E.
isVowel
Indicates that the referenced character or symbol is a vowel in the relevant alphabet or phonetic system.
- F. None of above.
Provenance (1 batch)
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. |
Created at: May 3, 2026, 4:05 p.m.