Triple

T10876141
Position Surface form Disambiguated ID Type / Status
Subject Svetlana E256802 entity
Predicate hasDiminutiveForm P456 FINISHED
Object Sveta
Sveta is a common Russian diminutive form of the female given name Svetlana, often used as an affectionate or informal nickname.
 E890212 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: Sveta | Statement: [Svetlana, hasDiminutiveForm, Sveta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sveta
Context triple: [Svetlana, hasDiminutiveForm, Sveta]
  • A. Pavlina
    Pavlina is a feminine given name, commonly used in Slavic countries as a variant of names like Paulina.
  • B. Vika
    Vika is a central neighborhood in Oslo, Norway, known for its waterfront location, cultural institutions, and proximity to the city’s business district.
  • C. Doroteja
    Doroteja is a feminine given name, commonly used in Slavic countries, that is a variant of the name Dorothea.
  • D. Dáša
    Dáša is a common Czech and Slovak feminine given name, typically used as a diminutive form of Dagmar.
  • E. Shkrebneva
    Shkrebneva is the maiden surname of Lyudmila Putina, the former wife of Russian president Vladimir Putin.
  • 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: Sveta
Triple: [Svetlana, hasDiminutiveForm, Sveta]
Generated description
Sveta is a common Russian diminutive form of the female given name Svetlana, often used as an affectionate or informal nickname.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sveta
Target entity description: Sveta is a common Russian diminutive form of the female given name Svetlana, often used as an affectionate or informal nickname.
  • A. Pavlina
    Pavlina is a feminine given name, commonly used in Slavic countries as a variant of names like Paulina.
  • B. Vika
    Vika is a central neighborhood in Oslo, Norway, known for its waterfront location, cultural institutions, and proximity to the city’s business district.
  • C. Doroteja
    Doroteja is a feminine given name, commonly used in Slavic countries, that is a variant of the name Dorothea.
  • D. Dáša
    Dáša is a common Czech and Slovak feminine given name, typically used as a diminutive form of Dagmar.
  • E. Shkrebneva
    Shkrebneva is the maiden surname of Lyudmila Putina, the former wife of Russian president Vladimir Putin.
  • 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751ac901881909938cabe4d21bdbf completed April 9, 2026, 7:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7ddafc48190824c133bb33b9efe completed April 15, 2026, 8:41 p.m.
NEDg Description generation batch_69e0026fda3c8190b60174b252d57e12 completed April 15, 2026, 9:26 p.m.
NED2 Entity disambiguation (via description) batch_69e00581fde08190b28b8dde4a21d59e completed April 15, 2026, 9:39 p.m.
Created at: April 8, 2026, 9:21 p.m.