Triple
T13572355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Юрий |
E324194
|
entity |
| Predicate | hasLatinAlphabetTransliteration |
P34124
|
FINISHED |
| Object | Yuri |
E40856
|
NE FINISHED |
How this triple was built (3 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: Yuri | Statement: [Юрий, hasLatinAlphabetTransliteration, Yuri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yuri Context triple: [Юрий, hasLatinAlphabetTransliteration, Yuri]
-
A.
Yuri
chosen
Yuri is a common Russian given name, famously borne by Yuri Gagarin, the first human to journey into outer space.
-
B.
Yuri
Yuri is a Papuan language belonging to the Karkar-Yuri language family of New Guinea.
-
C.
Lyova
Lyova is a Russian diminutive form of the male given name Lev.
-
D.
Ilya
Ilya is a common Russian given name, notably borne by star ice hockey player Ilya Kovalchuk.
-
E.
Aloysya
Aloysya is a given name, typically a feminine variant of Aloysius, used in various cultures and languages.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLatinAlphabetTransliteration Context triple: [Юрий, hasLatinAlphabetTransliteration, Yuri]
-
A.
hasTransliterationRole
Indicates that an entity participates in a transliteration process with a specific role (e.g., source, target, or agent of transliteration).
-
B.
hasTransliterationType
Indicates the type or system of transliteration used to convert text from one writing system into another.
-
C.
hasTransliterationRule
Indicates that there exists a specific rule or mapping that defines how text in one script or writing system is systematically converted into another.
-
D.
usesLatinAlphabetSince
Indicates that an entity has employed the Latin alphabet as its writing system starting from a specific point in time and continuing thereafter.
-
E.
hasCyrillicAlphabetForm
chosen
Indicates that an entity has a corresponding representation or form written in the Cyrillic alphabet.
- F. None of above.
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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0106cb48190b20eb9bda131a68a |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f8967288190b822ed1e115f85b2 |
completed | May 3, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69dbae161a0481909f9d3f40ca4e0ac5 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:48 p.m.