Triple

T1879318
Position Surface form Disambiguated ID Type / Status
Subject Donbas E39814 entity
Predicate hasCity P316 FINISHED
Object Makiyivka
Makiyivka is a major industrial city in eastern Ukraine’s Donetsk region, historically known for its coal mining and heavy industry.
E215514 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: Makiyivka | Statement: [Donbas, hasCity, Makiyivka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Makiyivka
Context triple: [Donbas, hasCity, Makiyivka]
  • A. Yanovka
    Yanovka is a small rural settlement in what is now Ukraine, historically part of the Russian Empire, best known as the birthplace of revolutionary leader Leon Trotsky.
  • B. Baturyn
    Baturyn is a historic town in northern Ukraine that served as a major political and military center of the Cossack Hetmanate in the 17th–18th centuries.
  • C. Obluchye
    Obluchye is a small town in Russia’s Far East, located in the Jewish Autonomous Oblast and known primarily as a local railway and administrative center.
  • D. Mikhaylovka
    Mikhaylovka is a city in southwestern Russia known as one of the key urban centers of Volgograd Oblast.
  • E. Vyshny Volochyok
    Vyshny Volochyok is a historic town in Tver Oblast, Russia, known as a former key transport hub on the waterway between Moscow and Saint Petersburg.
  • 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: Makiyivka
Triple: [Donbas, hasCity, Makiyivka]
Generated description
Makiyivka is a major industrial city in eastern Ukraine’s Donetsk region, historically known for its coal mining and heavy industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Makiyivka
Target entity description: Makiyivka is a major industrial city in eastern Ukraine’s Donetsk region, historically known for its coal mining and heavy industry.
  • A. Yanovka
    Yanovka is a small rural settlement in what is now Ukraine, historically part of the Russian Empire, best known as the birthplace of revolutionary leader Leon Trotsky.
  • B. Baturyn
    Baturyn is a historic town in northern Ukraine that served as a major political and military center of the Cossack Hetmanate in the 17th–18th centuries.
  • C. Obluchye
    Obluchye is a small town in Russia’s Far East, located in the Jewish Autonomous Oblast and known primarily as a local railway and administrative center.
  • D. Mikhaylovka
    Mikhaylovka is a city in southwestern Russia known as one of the key urban centers of Volgograd Oblast.
  • E. Vyshny Volochyok
    Vyshny Volochyok is a historic town in Tver Oblast, Russia, known as a former key transport hub on the waterway between Moscow and Saint Petersburg.
  • 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_69a88633e4fc8190b7eb40463e048ec5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0f8e9f08190a210440823fad69e completed March 7, 2026, 5 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3ca2bd48190b055dd2e657c4dd9 completed March 8, 2026, 10:10 p.m.
NEDg Description generation batch_69adf494f0288190bf77285d18fcd3d9 completed March 8, 2026, 10:13 p.m.
NED2 Entity disambiguation (via description) batch_69adf51f49488190b9b0465b4da685c1 completed March 8, 2026, 10:15 p.m.
Created at: March 4, 2026, 7:34 p.m.