Triple
T17006481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jyutping |
E412583
|
entity |
| Predicate | distinguishesPhonemes |
P4249
|
FINISHED |
| Object | initials z, c, s vs. j |
—
|
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: initials z, c, s vs. j | Statement: [Jyutping, distinguishesPhonemes, initials z, c, s vs. j]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distinguishesPhonemes Context triple: [Jyutping, distinguishesPhonemes, initials z, c, s vs. j]
-
A.
hasPhonemicContrast
chosen
Indicates that two or more speech sounds are distinguished in a language by differences that change word meaning.
-
B.
hasDistinctLetterForSound
Indicates that a particular sound is represented by its own unique letter, distinct from other sounds in the writing system.
-
C.
distinguishesSyllabicNasals
Indicates that a language or system makes a phonological distinction between syllabic nasal consonants and other types of segments.
-
D.
hasPhoneme
Indicates that a linguistic unit (such as a word or morpheme) contains or includes a particular phoneme as part of its sound structure.
-
E.
distinguishesAspiratedConsonants
Indicates that a language or system makes a phonemic contrast between aspirated consonants and their unaspirated counterparts.
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d3831268819089286053a5acf653 |
completed | April 18, 2026, 6:54 p.m. |
| PD | Predicate disambiguation | batch_69e35d552bc08190af17ef7659e094ef |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:32 a.m.