Triple
T5829578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bzyb dialect |
E129310
|
entity |
| Predicate | hasConsonantSystem |
P24463
|
FINISHED |
| Object | rich set of fricatives and affricates |
—
|
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: rich set of fricatives and affricates | Statement: [Bzyb dialect, hasConsonantSystem, rich set of fricatives and affricates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConsonantSystem Context triple: [Bzyb dialect, hasConsonantSystem, rich set of fricatives and affricates]
-
A.
hasConsonantPhonemes
chosen
Indicates that an entity possesses or includes one or more consonant phonemes in its phonological system.
-
B.
hasVowelSystem
Indicates that an entity possesses a particular system or pattern of vowel sounds (a structured set of vowel phonemes or contrasts).
-
C.
hasLimitedConsonantInventory
Indicates that a language possesses a relatively small set of distinct consonant sounds in its phonological system.
-
D.
hasConsonantHarmony
Indicates that the entities are related by a pattern where consonants within a linguistic unit adjust to share similar features, creating consonant harmony.
-
E.
hasConsonantSigns
Indicates that one entity possesses or includes consonant sign characters as part of its representation or structure.
- 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_69c00849d55481908b4f9f5543e0bf6d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c044ab0a048190b84be40fb13c0f50 |
completed | March 22, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69c03341e5888190a5f219b6f92cb161 |
completed | March 22, 2026, 6:21 p.m. |
Created at: March 22, 2026, 3:54 p.m.