Triple

T4379025
Position Surface form Disambiguated ID Type / Status
Subject Dávid E99081 entity
Predicate hasNickName P39 FINISHED
Object Dávidka
Dávidka is a diminutive, affectionate nickname commonly used for someone named Dávid in Hungarian-speaking contexts.
 E311839 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: Dávidka | Statement: [Dávid, hasNickName, Dávidka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dávidka
Context triple: [Dávid, hasNickName, Dávidka]
  • A. Lastochka
    Lastochka is a modern Russian electric multiple-unit passenger train brand used primarily for high-speed suburban and regional services.
  • B. Karcsi
    Karcsi is a common Hungarian diminutive form of the male given name Károly, used as an affectionate or informal nickname.
  • C. Zedka
    Zedka is a fellow patient in Paulo Coelho’s novel "Veronika Decides to Die," known for her struggle with depression and her role in challenging Veronika’s understanding of madness and freedom.
  • D. Dakku
    Dakku was one of the wives of famed Sherpa mountaineer Tenzing Norgay, who helped support his family life during his historic climbing career.
  • E. Kukarka
    Kukarka is a small Russian locality historically known as the birthplace of Soviet politician Vyacheslav Molotov.
  • 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: Dávidka
Triple: [Dávid, hasNickName, Dávidka]
Generated description
Dávidka is a diminutive, affectionate nickname commonly used for someone named Dávid in Hungarian-speaking contexts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dávidka
Target entity description: Dávidka is a diminutive, affectionate nickname commonly used for someone named Dávid in Hungarian-speaking contexts.
  • A. Lastochka
    Lastochka is a modern Russian electric multiple-unit passenger train brand used primarily for high-speed suburban and regional services.
  • B. Karcsi chosen
    Karcsi is a common Hungarian diminutive form of the male given name Károly, used as an affectionate or informal nickname.
  • C. Zedka
    Zedka is a fellow patient in Paulo Coelho’s novel "Veronika Decides to Die," known for her struggle with depression and her role in challenging Veronika’s understanding of madness and freedom.
  • D. Dakku
    Dakku was one of the wives of famed Sherpa mountaineer Tenzing Norgay, who helped support his family life during his historic climbing career.
  • E. Kukarka
    Kukarka is a small Russian locality historically known as the birthplace of Soviet politician Vyacheslav Molotov.
  • F. None of above.

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_69b3454ea8f48190a49c2436624d6ef6 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35240092c81908e26ff607d665e7a completed March 12, 2026, 11:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b627dd58dc819090d81177849fdc63 completed March 15, 2026, 3:30 a.m.
NEDg Description generation batch_69b628fe10908190978dd0361628f54f completed March 15, 2026, 3:35 a.m.
NED2 Entity disambiguation (via description) batch_69b629ab52c881909f7fbef6f77b5bc4 completed March 15, 2026, 3:38 a.m.
Created at: March 12, 2026, 11:18 p.m.