Triple

T16689317
Position Surface form Disambiguated ID Type / Status
Subject Yekaterina E405551 entity
Predicate hasDiminutive P456 FINISHED
Object Katenka
Katenka is a Russian diminutive form of the female given name Yekaterina (Catherine).
 E1228657 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: Katenka | Statement: [Yekaterina, hasDiminutive, Katenka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Katenka
Context triple: [Yekaterina, hasDiminutive, Katenka]
  • A. Kankinara
    Kankinara is a suburban locality in West Bengal, India, known for its railway station on the Kolkata suburban network and its surrounding residential and industrial areas.
  • B. Katito
    Katito is a small town in western Kenya that serves as a local commercial and transport center in the former Nyando District of Kisumu County.
  • C. Intha-Katu
    Intha-Katu is a Katuic language spoken by an ethnic minority community in mainland Southeast Asia, likely in Laos or Vietnam.
  • D. Kokane
    Kokane is an American rapper and singer known for his distinctive G-funk style and frequent collaborations with West Coast hip hop artists.
  • E. Kingaama
    Kingaama is a Bantu language belonging to the Sabaki branch, spoken along the East African coast.
  • 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: Katenka
Triple: [Yekaterina, hasDiminutive, Katenka]
Generated description
Katenka is a Russian diminutive form of the female given name Yekaterina (Catherine).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Katenka
Target entity description: Katenka is a Russian diminutive form of the female given name Yekaterina (Catherine).
  • A. Kankinara
    Kankinara is a suburban locality in West Bengal, India, known for its railway station on the Kolkata suburban network and its surrounding residential and industrial areas.
  • B. Katito
    Katito is a small town in western Kenya that serves as a local commercial and transport center in the former Nyando District of Kisumu County.
  • C. Intha-Katu
    Intha-Katu is a Katuic language spoken by an ethnic minority community in mainland Southeast Asia, likely in Laos or Vietnam.
  • D. Kokane
    Kokane is an American rapper and singer known for his distinctive G-funk style and frequent collaborations with West Coast hip hop artists.
  • E. Kingaama
    Kingaama is a Bantu language belonging to the Sabaki branch, spoken along the East African coast.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ea80d88819091fc61ed3c01955a completed April 18, 2026, 12:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091966fbc81908cd1db230ddbb82b completed May 10, 2026, 2:09 p.m.
NEDg Description generation batch_6a00920dd72c8190b30d4edd779e7029 completed May 10, 2026, 2:11 p.m.
NED2 Entity disambiguation (via description) batch_6a0092e322d08190862ae42a28c9e5cf completed May 10, 2026, 2:14 p.m.
Created at: April 10, 2026, 5:19 a.m.