Triple

T279160
Position Surface form Disambiguated ID Type / Status
Subject Ukrainians E5314 entity
Predicate majorCityInHomeland P316 FINISHED
Object Kharkiv
Kharkiv is Ukraine’s second-largest city and a major industrial, cultural, and educational center in the northeast of the country.
 E38108 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: Kharkiv | Statement: [Ukrainians, majorCityInHomeland, Kharkiv]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kharkiv
Context triple: [Ukrainians, majorCityInHomeland, Kharkiv]
  • A. Kyiv
    Kyiv is the capital and largest city of Ukraine, serving as its political, cultural, and economic center.
  • B. Kryvyi Rih
    Kryvyi Rih is a major industrial city in central Ukraine known for its extensive iron ore mining and steel production.
  • C. Simferopol
    Simferopol is the administrative and cultural center of Crimea, known as a key regional hub for transportation, education, and industry.
  • D. Lutsk
    Lutsk is a historic city in northwestern Ukraine, known as the administrative center of Volyn Oblast and one of the region’s oldest cultural and economic hubs.
  • E. Eupatoria
    Eupatoria is a historic resort and port city on the western coast of Crimea, known for its beaches, therapeutic muds, and diverse cultural heritage.
  • 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: Kharkiv
Triple: [Ukrainians, majorCityInHomeland, Kharkiv]
Generated description
Kharkiv is Ukraine’s second-largest city and a major industrial, cultural, and educational center in the northeast of the country.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kharkiv
Target entity description: Kharkiv is Ukraine’s second-largest city and a major industrial, cultural, and educational center in the northeast of the country.
  • A. Kyiv
    Kyiv is the capital and largest city of Ukraine, serving as its political, cultural, and economic center.
  • B. Kryvyi Rih
    Kryvyi Rih is a major industrial city in central Ukraine known for its extensive iron ore mining and steel production.
  • C. Simferopol
    Simferopol is the administrative and cultural center of Crimea, known as a key regional hub for transportation, education, and industry.
  • D. Lutsk
    Lutsk is a historic city in northwestern Ukraine, known as the administrative center of Volyn Oblast and one of the region’s oldest cultural and economic hubs.
  • E. Eupatoria
    Eupatoria is a historic resort and port city on the western coast of Crimea, known for its beaches, therapeutic muds, and diverse cultural heritage.
  • 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_69a257e6c8788190987dfe705ca2912a completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a260d0dae48190a2ec98d0186fd792 completed Feb. 28, 2026, 3:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3a5cfc9348190b81b728266aeeb0b completed March 1, 2026, 2:34 a.m.
NEDg Description generation batch_69a3a6dc065c81908716ce8e8f36bb68 completed March 1, 2026, 2:39 a.m.
NED2 Entity disambiguation (via description) batch_69a3a74e9cf48190bdd6c2f287fc54d7 completed March 1, 2026, 2:41 a.m.
Created at: Feb. 28, 2026, 2:59 a.m.