Triple

T6115250
Position Surface form Disambiguated ID Type / Status
Subject Olga E136344 entity
Predicate hasDiminutive P456 FINISHED
Object Olenka
Olenka is a Slavic diminutive form of the female given name Olga, often used as an affectionate or familiar nickname.
 E571392 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: Olenka | Statement: [Olga, hasDiminutive, Olenka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Olenka
Context triple: [Olga, hasDiminutive, Olenka]
  • A. Oreshek
    Oreshek is the historic Russian fortress on Lake Ladoga that later gave rise to the town of Shlisselburg.
  • B. Zolotonosha
    Zolotonosha is a historic town in central Ukraine, located in the Cherkasy region on the banks of the Zolotonoshka River.
  • C. Ozerki
    Ozerki is a locality in Russia historically noted as the site where the revolutionary priest Georgy Gapon was killed.
  • D. Yenakiieve
    Yenakiieve is an industrial city in eastern Ukraine, historically known for its coal mining and metallurgical industries.
  • E. Orlovika
    Orlovika is an alternative name for the Orlov Revolt, an 18th-century Greek uprising against Ottoman rule encouraged by Russia during the Russo-Turkish War.
  • 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: Olenka
Triple: [Olga, hasDiminutive, Olenka]
Generated description
Olenka is a Slavic diminutive form of the female given name Olga, often used as an affectionate or familiar nickname.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Olenka
Target entity description: Olenka is a Slavic diminutive form of the female given name Olga, often used as an affectionate or familiar nickname.
  • A. Oreshek
    Oreshek is the historic Russian fortress on Lake Ladoga that later gave rise to the town of Shlisselburg.
  • B. Zolotonosha
    Zolotonosha is a historic town in central Ukraine, located in the Cherkasy region on the banks of the Zolotonoshka River.
  • C. Ozerki
    Ozerki is a locality in Russia historically noted as the site where the revolutionary priest Georgy Gapon was killed.
  • D. Yenakiieve
    Yenakiieve is an industrial city in eastern Ukraine, historically known for its coal mining and metallurgical industries.
  • E. Orlovika
    Orlovika is an alternative name for the Orlov Revolt, an 18th-century Greek uprising against Ottoman rule encouraged by Russia during the Russo-Turkish War.
  • 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_69c0089ea6f88190b349be53e04b4f5f completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05bc0bee08190ab93eae34ea8cdde completed March 22, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1359ed8608190a99c9e5b0f384c63 completed March 23, 2026, 12:44 p.m.
NEDg Description generation batch_69c13732881881909c56f7c6f4540104 completed March 23, 2026, 12:50 p.m.
NED2 Entity disambiguation (via description) batch_69c137a10d908190a23c8be20277e803 completed March 23, 2026, 12:52 p.m.
Created at: March 22, 2026, 4:14 p.m.