Triple
T32384376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Changzhi dialect |
E827510
|
entity |
| Predicate | hasToneSandhi |
P189732
|
FINISHED |
| Object | tone sandhi patterns distinct from Standard Mandarin |
—
|
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: tone sandhi patterns distinct from Standard Mandarin | Statement: [Changzhi dialect, hasToneSandhi, tone sandhi patterns distinct from Standard Mandarin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasToneSandhi Context triple: [Changzhi dialect, hasToneSandhi, tone sandhi patterns distinct from Standard Mandarin]
-
A.
hasPhonemicTone
Indicates that a language, word, or syllable uses pitch differences (tones) as phonemic contrasts that can change meaning.
-
B.
usesSwaras
Indicates that one entity employs or incorporates specific musical notes (swaras) in relation to another entity or context.
-
C.
hasNasalHarmony
Indicates that a phonological process causes nasality in one segment to spread to or be shared with other segments within a word or domain.
-
D.
hasVariantWithoutToneMarks
Indicates that one textual form is a variant of another in which all tone marks have been removed.
-
E.
hasConsonantHarmony
Indicates that the entities are related by a pattern where consonants within a linguistic unit adjust to share similar features, creating consonant harmony.
- F. None of above. chosen
Provenance (4 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_69f349184e7481909c6c54428cb9cf12 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fbca6c066c8190a1599202f341417f |
completed | May 6, 2026, 11:10 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ec03ac8190a757563f96fab283 |
completed | May 6, 2026, 11:04 p.m. |
| PDg | Predicate description generation | batch_69fbc9d0854c8190aa00093274afebb8 |
completed | May 6, 2026, 11:08 p.m. |
Created at: May 1, 2026, 12:51 a.m.