Triple

T15381775
Position Surface form Disambiguated ID Type / Status
Subject Budjak E367820 entity
Predicate containsCity P294 FINISHED
Object Tatarbunary
Tatarbunary is a small town in the historical Budjak region of southwestern Ukraine, known for its agricultural surroundings and multiethnic local culture.
 E1153789 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: Tatarbunary | Statement: [Budjak, containsCity, Tatarbunary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tatarbunary
Context triple: [Budjak, containsCity, Tatarbunary]
  • A. Chuvash
    Chuvash are a Turkic ethnic group native to the Volga region of Russia, known for their distinct Chuvash language and culture.
  • B. Judeo-Tat
    Judeo-Tat is a Southwest Iranian Jewish language traditionally spoken by Mountain Jews of the eastern Caucasus region.
  • C. Surzhyk
    Surzhyk is a mixed sociolect that blends elements of Ukrainian and Russian, commonly spoken in various regions of Ukraine.
  • D. Lezghinka
    Lezghinka is a fast-paced, energetic traditional folk dance of the peoples of the North Caucasus, often featuring sharp footwork and expressive, dramatic movements.
  • E. Tatar
    Tatars are a Turkic ethnic group native to Russia and surrounding regions, known for their distinct language, culture, and historical role in the Volga and Crimean areas.
  • 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: Tatarbunary
Triple: [Budjak, containsCity, Tatarbunary]
Generated description
Tatarbunary is a small town in the historical Budjak region of southwestern Ukraine, known for its agricultural surroundings and multiethnic local culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tatarbunary
Target entity description: Tatarbunary is a small town in the historical Budjak region of southwestern Ukraine, known for its agricultural surroundings and multiethnic local culture.
  • A. Chuvash
    Chuvash are a Turkic ethnic group native to the Volga region of Russia, known for their distinct Chuvash language and culture.
  • B. Judeo-Tat
    Judeo-Tat is a Southwest Iranian Jewish language traditionally spoken by Mountain Jews of the eastern Caucasus region.
  • C. Surzhyk
    Surzhyk is a mixed sociolect that blends elements of Ukrainian and Russian, commonly spoken in various regions of Ukraine.
  • D. Lezghinka
    Lezghinka is a fast-paced, energetic traditional folk dance of the peoples of the North Caucasus, often featuring sharp footwork and expressive, dramatic movements.
  • E. Tatar
    Tatars are a Turkic ethnic group native to Russia and surrounding regions, known for their distinct language, culture, and historical role in the Volga and Crimean areas.
  • 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e61928c81908852c355d537ed9c completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b5bc43c81908ffdb7819e3660d9 completed May 9, 2026, 10:24 a.m.
NEDg Description generation batch_69ff0c1171d4819099e0d0e1411059b2 completed May 9, 2026, 10:27 a.m.
NED2 Entity disambiguation (via description) batch_69ff10a360f8819098c8c9700b062478 completed May 9, 2026, 10:46 a.m.
Created at: April 10, 2026, 3:19 a.m.