Triple
T1409482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jamalpuri dialect |
E31771
|
entity |
| Predicate | hasVowelFeatures |
P18452
|
FINISHED |
| Object | regional vowel quality differences from Standard Bengali |
—
|
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: regional vowel quality differences from Standard Bengali | Statement: [Jamalpuri dialect, hasVowelFeatures, regional vowel quality differences from Standard Bengali]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVowelFeatures Context triple: [Jamalpuri dialect, hasVowelFeatures, regional vowel quality differences from Standard Bengali]
-
A.
hasVowelFeature
chosen
Indicates that an entity possesses a specific vowel-related phonological or articulatory feature.
-
B.
hasVowelSystem
Indicates that an entity possesses a particular system or pattern of vowel sounds (a structured set of vowel phonemes or contrasts).
-
C.
hasVowelNotationSystem
Indicates that a writing or transcription system for a language includes a method for explicitly representing vowel sounds.
-
D.
hasVowelLengthContrast
Indicates that a language distinguishes word meanings based on differences in the length (duration) of vowel sounds.
-
E.
hasVow
Indicates that one entity has made or is bound by a formal vow or promise in relation to another entity or context.
- 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_69a49918e1f88190ba610f9dc8114578 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3c10f44819085e1c4601423740d |
completed | March 1, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69a4bf048b648190ab77d9b45cb4855f |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:59 p.m.