Triple

T3436710
Position Surface form Disambiguated ID Type / Status
Subject Yekaterinoslav Governorate E72469 entity
Predicate contains P35 FINISHED
Object Alexandrovsk
Alexandrovsk was a historical town in the Russian Empire, now known as Zaporizhzhia in southeastern Ukraine.
 E357209 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: Alexandrovsk | Statement: [Yekaterinoslav Governorate, contains, Alexandrovsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alexandrovsk
Context triple: [Yekaterinoslav Governorate, contains, Alexandrovsk]
  • A. Piotrovsky
    Piotrovsky is a Russian surname most prominently associated with Mikhail Piotrovsky, the long-serving director of the State Hermitage Museum in Saint Petersburg.
  • B. Lukyanov
    Lukyanov is a Russian surname borne by various notable figures in politics, science, and the arts.
  • C. 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.
  • D. Krasnov
    Krasnov is a Russian surname borne by various notable figures in military, political, and cultural history.
  • E. Kastoria
    Kastoria is a picturesque lakeside city in northern Greece renowned for its Byzantine churches, traditional stone mansions, and historic fur trade.
  • 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: Alexandrovsk
Triple: [Yekaterinoslav Governorate, contains, Alexandrovsk]
Generated description
Alexandrovsk was a historical town in the Russian Empire, now known as Zaporizhzhia in southeastern Ukraine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alexandrovsk
Target entity description: Alexandrovsk was a historical town in the Russian Empire, now known as Zaporizhzhia in southeastern Ukraine.
  • A. Piotrovsky
    Piotrovsky is a Russian surname most prominently associated with Mikhail Piotrovsky, the long-serving director of the State Hermitage Museum in Saint Petersburg.
  • B. Lukyanov
    Lukyanov is a Russian surname borne by various notable figures in politics, science, and the arts.
  • C. 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.
  • D. Krasnov
    Krasnov is a Russian surname borne by various notable figures in military, political, and cultural history.
  • E. Kastoria
    Kastoria is a picturesque lakeside city in northern Greece renowned for its Byzantine churches, traditional stone mansions, and historic fur trade.
  • 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_69ad85af50288190a854b76653deee6f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb9f4398c8190a75822068308037b completed March 8, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69b35481a03c81908fd69da55d81aca3 completed March 13, 2026, 12:04 a.m.
NEDg Description generation batch_69b355a7dc308190ba8ab0db251592a2 completed March 13, 2026, 12:09 a.m.
NED2 Entity disambiguation (via description) batch_69b3567042ac8190aacf4e30da1aa816 completed March 13, 2026, 12:12 a.m.
Created at: March 8, 2026, 3:16 p.m.