Triple
T32811946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kolya |
E839176
|
entity |
| Predicate | stressPatternInRussian |
P4253
|
FINISHED |
| Object | stress on first syllable |
—
|
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: stress on first syllable | Statement: [Kolya, stressPatternInRussian, stress on first syllable]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stressPatternInRussian Context triple: [Kolya, stressPatternInRussian, stress on first syllable]
-
A.
hasStressPattern
chosen
Indicates that an entity (such as a word or phrase) follows a particular arrangement of stressed and unstressed units (e.g., syllables) in its pronunciation.
-
B.
inscriptionTextRussian
Indicates that the associated inscription or written text is expressed in the Russian language.
-
C.
phoneticPattern
Indicates that two or more linguistic elements share a specific arrangement or sequence of sounds according to a defined phonological structure.
-
D.
hasRussianVersion
Indicates that something has a corresponding version or counterpart that is in the Russian language.
-
E.
hasSyllableStructureTendency
Indicates a tendency or preference for a particular syllable structure pattern in how something (e.g., a language or speaker) organizes syllables.
- 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_69f3493d35208190b4351b4e85f2fa16 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6ce6d659881909ddcec1d2966e020 |
completed | May 3, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1667a48190b42684f6ec22dae9 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:15 a.m.