Triple
T35439055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enga language |
E1024290
|
entity |
| Predicate | hasPrenasalizedStops |
—
|
GENERATED |
| Object | true |
—
|
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: hasPrenasalizedStops Context triple: [Enga language, hasPrenasalizedStops, true]
-
A.
hasNasalConsonants
Indicates that the subject language or word includes one or more nasal consonant sounds in its phonological inventory or pronunciation.
-
B.
hasVoicelessStops
Indicates that the subject language or sound system includes voiceless stop consonants (such as [p], [t], [k]) in its phonemic inventory.
-
C.
hasVoicelessNasals
Indicates that the subject possesses or exhibits voiceless nasal sounds (nasal consonants produced without vocal fold vibration).
-
D.
hasNasalVowels
Indicates that the subject language or phonological system includes vowels that are produced with nasal airflow (nasalized vowels).
-
E.
hasPalatalizationContrast
Indicates that a language distinguishes meaning between sounds based on whether or not they are palatalized, treating palatalization as a contrastive phonological feature.
- F. None of above. chosen
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_69f76df743c48190aecb6dd79efb0d95 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:04 p.m.