Triple

T4549885
Position Surface form Disambiguated ID Type / Status
Subject Donetsk E110135 entity
Predicate formerName P65 FINISHED
Object Stalino
Stalino was the Soviet-era name of the industrial city now known as Donetsk in eastern Ukraine.
 E451133 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: Stalino | Statement: [Donetsk, formerName, Stalino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stalino
Context triple: [Donetsk, formerName, Stalino]
  • A. Kuibyshev
    Kuibyshev is the former Soviet name of the Russian city now known as Samara, a major industrial and administrative center on the Volga River.
  • B. Rubtsovsk
    Rubtsovsk is an industrial city in Altai Krai, Russia, known as the birthplace of Raisa Gorbacheva and for its role as a regional agricultural and machinery center.
  • C. Sverdlov
    Sverdlov is a Russian surname most notably associated with Yakov Sverdlov, a prominent Bolshevik leader during the early Soviet period.
  • D. Tselinograd
    Tselinograd was the Soviet-era name of Kazakhstan’s capital city, now known as Astana.
  • E. Krasnopresnenskaya
    Krasnopresnenskaya is a Moscow Metro station on the city’s circular Koltsevaya Line, known for its deep-level construction and Soviet-era architectural design.
  • 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: Stalino
Triple: [Donetsk, formerName, Stalino]
Generated description
Stalino was the Soviet-era name of the industrial city now known as Donetsk in eastern Ukraine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stalino
Target entity description: Stalino was the Soviet-era name of the industrial city now known as Donetsk in eastern Ukraine.
  • A. Kuibyshev
    Kuibyshev is the former Soviet name of the Russian city now known as Samara, a major industrial and administrative center on the Volga River.
  • B. Rubtsovsk
    Rubtsovsk is an industrial city in Altai Krai, Russia, known as the birthplace of Raisa Gorbacheva and for its role as a regional agricultural and machinery center.
  • C. Sverdlov
    Sverdlov is a Russian surname most notably associated with Yakov Sverdlov, a prominent Bolshevik leader during the early Soviet period.
  • D. Tselinograd
    Tselinograd was the Soviet-era name of Kazakhstan’s capital city, now known as Astana.
  • E. Krasnopresnenskaya
    Krasnopresnenskaya is a Moscow Metro station on the city’s circular Koltsevaya Line, known for its deep-level construction and Soviet-era architectural design.
  • 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_69bd4412524c8190be5bcc9ddee91848 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57f3f8348190868e274ac4df87ce completed March 20, 2026, 2:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdb94cab408190956ef333aa810a3b completed March 20, 2026, 9:17 p.m.
NEDg Description generation batch_69bdbb54723081908f9c3f7100b37e74 completed March 20, 2026, 9:25 p.m.
NED2 Entity disambiguation (via description) batch_69bdbbd02d188190bd531221a0ab9d73 completed March 20, 2026, 9:27 p.m.
Created at: March 20, 2026, 1:05 p.m.