Triple
T23519791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xinxiang dialect |
E574470
|
entity |
| Predicate | vowelInventoryRelation |
P22962
|
FINISHED |
| Object | similar to other Central Plains Mandarin dialects |
—
|
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: similar to other Central Plains Mandarin dialects | Statement: [Xinxiang dialect, vowelInventoryRelation, similar to other Central Plains Mandarin dialects]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vowelInventoryRelation Context triple: [Xinxiang dialect, vowelInventoryRelation, similar to other Central Plains Mandarin dialects]
-
A.
hasVowelInventorySize
Indicates that an entity is associated with a specific number of distinct vowel sounds in its phonological system.
-
B.
hasVowelSystem
chosen
Indicates that an entity possesses a particular system or pattern of vowel sounds (a structured set of vowel phonemes or contrasts).
-
C.
vowelPlacement
Indicates the relative position or arrangement of vowel sounds within a linguistic unit, such as a word or syllable.
-
D.
hasVowelNotationSystem
Indicates that a writing or transcription system for a language includes a method for explicitly representing vowel sounds.
-
E.
phonologyRelation
Indicates a relationship between linguistic elements based on their phonological properties, such as sound patterns, features, or structures.
- 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_69e245bb3dcc8190ba9a2b35972b58d0 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1aa84fe7c8190aa1078a118af7d61 |
completed | April 29, 2026, 6:51 a.m. |
| PD | Predicate disambiguation | batch_69f06213e8c48190b52a7789fb91e02d |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 6:08 p.m.