Triple

T295004
Position Surface form Disambiguated ID Type / Status
Subject Lutsk E6073 entity
Predicate hasAlternativeName P39 FINISHED
Object Luc’k (transliteration)
Luc’k is an alternative transliteration of Lutsk, a historic city in northwestern Ukraine known for its medieval castle and role as a regional cultural center.
 E37954 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: Luc’k (transliteration) | Statement: [Lutsk, hasAlternativeName, Luc’k (transliteration)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Luc’k (transliteration)
Context triple: [Lutsk, hasAlternativeName, Luc’k (transliteration)]
  • A. Luce
    Luce is a surname most notably associated with Henry Luce, the influential American magazine magnate and co-founder of Time Inc.
  • B. Le
    Le is a common Vietnamese surname shared by many notable figures in the country’s history and culture.
  • C. Lex
    Lex is a common shortened form of the given name Alexander, often used as a modern, informal nickname.
  • D. To-Lucky
    To-Lucky is one of the official mascots of Japan’s Hanshin Tigers baseball team, typically depicted as a cheerful anthropomorphic tiger supporting the club at games and events.
  • E. Shuar
    Shuar is an indigenous language of the Jivaroan family spoken by the Shuar people primarily in the Amazonian regions of Ecuador and Peru.
  • 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: Luc’k (transliteration)
Triple: [Lutsk, hasAlternativeName, Luc’k (transliteration)]
Generated description
Luc’k is an alternative transliteration of Lutsk, a historic city in northwestern Ukraine known for its medieval castle and role as a regional cultural center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Luc’k (transliteration)
Target entity description: Luc’k is an alternative transliteration of Lutsk, a historic city in northwestern Ukraine known for its medieval castle and role as a regional cultural center.
  • A. Luce
    Luce is a surname most notably associated with Henry Luce, the influential American magazine magnate and co-founder of Time Inc.
  • B. Le
    Le is a common Vietnamese surname shared by many notable figures in the country’s history and culture.
  • C. Lex
    Lex is a common shortened form of the given name Alexander, often used as a modern, informal nickname.
  • D. To-Lucky
    To-Lucky is one of the official mascots of Japan’s Hanshin Tigers baseball team, typically depicted as a cheerful anthropomorphic tiger supporting the club at games and events.
  • E. Shuar
    Shuar is an indigenous language of the Jivaroan family spoken by the Shuar people primarily in the Amazonian regions of Ecuador and Peru.
  • 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_69a2e79114b081909490b3bf5a5dbb51 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2e978420881908488df342a7d5e90 completed Feb. 28, 2026, 1:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3a5d514388190ac0f748a406ae43e completed March 1, 2026, 2:35 a.m.
NEDg Description generation batch_69a3a63b33408190bea3a099165d1233 completed March 1, 2026, 2:36 a.m.
NED2 Entity disambiguation (via description) batch_69a3a69b4e488190ae092d6989c75556 completed March 1, 2026, 2:38 a.m.
Created at: Feb. 28, 2026, 1:06 p.m.