Triple
T24262058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madura language |
E604731
|
entity |
| Predicate | usesPhonemicContrast |
P4249
|
FINISHED |
| Object | aspirated consonants |
—
|
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: aspirated consonants | Statement: [Madura language, usesPhonemicContrast, aspirated consonants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesPhonemicContrast Context triple: [Madura language, usesPhonemicContrast, aspirated consonants]
-
A.
hasPhonemicContrast
chosen
Indicates that two or more speech sounds are distinguished in a language by differences that change word meaning.
-
B.
hasPhonationContrast
Indicates that a language or system distinguishes sounds based on different phonation types (e.g., voiced vs. voiceless) as a meaningful contrast.
-
C.
hasPhonemicVowels
Indicates that a language or linguistic system distinguishes vowel sounds as separate phonemes that can change word meaning.
-
D.
hasPhonemicPrinciple
Indicates that one entity employs or is based on a phonemic principle in relation to another entity (such as a writing system reflecting distinct phonemes of a language).
-
E.
hasConsonantLengthContrast
Indicates that a language distinguishes meaning between words based on differences in the length or duration of consonant sounds.
- 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_69e29544c29c8190b023606eafe5d36a |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28c6727388190862e3ce09c372c70 |
completed | April 29, 2026, 10:55 p.m. |
| PD | Predicate disambiguation | batch_69f1c450aa508190bc9d372a5f6ee47a |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:06 a.m.