Triple
T31323914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darya |
E798827
|
entity |
| Predicate | isTransliteratedFormOf |
P5923
|
FINISHED |
| Object |
Дарья
Дарья is a common Russian female given name, traditionally derived from the Persian name Daria and widely used across Russian-speaking countries.
|
E1964475
|
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: Дарья | Statement: [Darya, isTransliteratedFormOf, Дарья]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Дарья Triple: [Darya, isTransliteratedFormOf, Дарья]
Generated description
Дарья is a common Russian female given name, traditionally derived from the Persian name Daria and widely used across Russian-speaking countries.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTransliteratedFormOf Context triple: [Darya, isTransliteratedFormOf, Дарья]
-
A.
formerTransliteration
Indicates that one transliteration was previously used for an entity but has since been replaced by a different transliteration.
-
B.
hasTransliterationRole
Indicates that an entity participates in a transliteration process with a specific role (e.g., source, target, or agent of transliteration).
-
C.
alternativeTransliteration
chosen
Indicates that one written form represents an alternative way of transliterating the same original text or name into another script or orthography.
-
D.
transliteratedFromDialect
Indicates that a linguistic form has been transliterated from a specific dialect rather than from the standard or another variety of the language.
-
E.
transliterationTarget
Indicates that one entity is the target script or form into which another entity is transliterated.
- F. None of above.
Provenance (6 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_69f224e3238c8190b2291f50ea4962cd |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6c1bb5f248190834161b5a6ba1ece |
completed | May 3, 2026, 3:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2b143ebf0081908128a9abde9202e4 |
completed | June 11, 2026, 8:02 p.m. |
| NEDg | Description generation | batch_6a2b15bcfcb48190933a5f8bd84353a3 |
completed | June 11, 2026, 8:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2b1638a23881909b6edaaa0288218a |
completed | June 11, 2026, 8:10 p.m. |
| PD | Predicate disambiguation | batch_69f6bd25bed08190befcabd3a41ffadf |
completed | May 3, 2026, 3:12 a.m. |
Created at: April 29, 2026, 9:15 p.m.