Triple
T14353184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viktoria |
E355903
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object |
Viktoriya
Viktoriya is a feminine given name, commonly used in Slavic countries as a variant of Victoria.
|
E1099579
|
NE FINISHED |
How this triple was built (4 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: Viktoriya | Statement: [Viktoria, hasSpellingVariant, Viktoriya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Viktoriya Context triple: [Viktoria, hasSpellingVariant, Viktoriya]
-
A.
Alexandra
Alexandra is a feminine given name of Greek origin meaning "defender of mankind," used in many cultures around the world.
-
B.
Alexandra
Alexandra is a densely populated township in northern Johannesburg, South Africa, known for its vibrant culture and significant role in the country’s anti-apartheid history.
-
C.
Alexandra
Alexandra is a small Central Otago town in New Zealand known for its riverside setting, fruit orchards, and historic gold-mining heritage.
-
D.
Elizabeth of Russia
Elizabeth of Russia was Empress of Russia from 1741 to 1762, known for her relatively peaceful reign, patronage of the arts and architecture, and strengthening of Russian culture and influence in Europe.
-
E.
Yekaterina
Yekaterina is a common Russian female given name, equivalent to Catherine in English.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Viktoriya Triple: [Viktoria, hasSpellingVariant, Viktoriya]
Generated description
Viktoriya is a feminine given name, commonly used in Slavic countries as a variant of Victoria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Viktoriya Target entity description: Viktoriya is a feminine given name, commonly used in Slavic countries as a variant of Victoria.
-
A.
Alexandra
Alexandra is a feminine given name of Greek origin meaning "defender of mankind," used in many cultures around the world.
-
B.
Alexandra
Alexandra is a densely populated township in northern Johannesburg, South Africa, known for its vibrant culture and significant role in the country’s anti-apartheid history.
-
C.
Alexandra
Alexandra is a small Central Otago town in New Zealand known for its riverside setting, fruit orchards, and historic gold-mining heritage.
-
D.
Elizabeth of Russia
Elizabeth of Russia was Empress of Russia from 1741 to 1762, known for her relatively peaceful reign, patronage of the arts and architecture, and strengthening of Russian culture and influence in Europe.
-
E.
Yekaterina
Yekaterina is a common Russian female given name, equivalent to Catherine in English.
- F. None of above. chosen
Provenance (5 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8f4ff1e48190bd9419d70098cede |
completed | April 14, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bbd7cb881908b33b3aae4243f2e |
completed | May 8, 2026, 3:42 a.m. |
| NEDg | Description generation | batch_69fd5c6494788190af55027c7c2c45b7 |
completed | May 8, 2026, 3:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd5cc9ec1c8190b761c9459ca0c52e |
completed | May 8, 2026, 3:47 a.m. |
Created at: April 10, 2026, 1:14 a.m.