Triple
T11912389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Standard German phonology |
E283425
|
entity |
| Predicate | distinguishesPhonemically |
P4249
|
FINISHED |
| Object | long and short tense-lax vowel pairs such as /iː/–/ɪ/ |
—
|
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: long and short tense-lax vowel pairs such as /iː/–/ɪ/ | Statement: [Standard German phonology, distinguishesPhonemically, long and short tense-lax vowel pairs such as /iː/–/ɪ/]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distinguishesPhonemically Context triple: [Standard German phonology, distinguishesPhonemically, long and short tense-lax vowel pairs such as /iː/–/ɪ/]
-
A.
hasPhonemicContrast
chosen
Indicates that two or more speech sounds are distinguished in a language by differences that change word meaning.
-
B.
distinguishesSyllabicNasals
Indicates that a language or system makes a phonological distinction between syllabic nasal consonants and other types of segments.
-
C.
hasPronunciationDifferenceFrom
Indicates that two linguistic items differ in how they are pronounced.
-
D.
hasPhonologicalBasisFor
Indicates that one entity serves as the phonological source, motivation, or foundation for another entity.
-
E.
degreeOfPhoneticism
Indicates the extent to which a writing system’s symbols correspond directly to the sounds (phonetics) of the spoken language.
- 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e528f6748190ac873a040a61fa93 |
completed | April 10, 2026, 11:55 a.m. |
| PD | Predicate disambiguation | batch_69d8bb3632ac8190b13e53c2b5db7125 |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:44 p.m.