Triple

T3069176
Position Surface form Disambiguated ID Type / Status
Subject Saratov Oblast E62177 entity
Predicate containsCity P294 FINISHED
Object Krasnoarmeysk
Krasnoarmeysk is a town in southwestern Russia known as one of the urban centers of Saratov Oblast.
E355723 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: Krasnoarmeysk | Statement: [Saratov Oblast, containsCity, Krasnoarmeysk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krasnoarmeysk
Context triple: [Saratov Oblast, containsCity, Krasnoarmeysk]
  • A. Taganrog
    Taganrog is a port city in southwestern Russia on the northern coast of the Sea of Azov, known for its maritime trade and as the birthplace of writer Anton Chekhov.
  • B. Dimitrovgrad
    Dimitrovgrad is a major industrial and scientific city in Russia, known especially for its nuclear research facilities and machine-building industries.
  • C. Alchevsk
    Alchevsk is an industrial city in eastern Ukraine known for its steel and metallurgical plants.
  • D. Kirovsk
    Kirovsk is a small industrial town in northwestern Russia, situated near Saint Petersburg along the Neva River.
  • E. Kirovsk
    Kirovsk is an industrial town in Russia’s Murmansk Oblast, known for its mining industry and location in the Khibiny Mountains on the Kola Peninsula.
  • 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: Krasnoarmeysk
Triple: [Saratov Oblast, containsCity, Krasnoarmeysk]
Generated description
Krasnoarmeysk is a town in southwestern Russia known as one of the urban centers of Saratov Oblast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Krasnoarmeysk
Target entity description: Krasnoarmeysk is a town in southwestern Russia known as one of the urban centers of Saratov Oblast.
  • A. Taganrog
    Taganrog is a port city in southwestern Russia on the northern coast of the Sea of Azov, known for its maritime trade and as the birthplace of writer Anton Chekhov.
  • B. Dimitrovgrad
    Dimitrovgrad is a major industrial and scientific city in Russia, known especially for its nuclear research facilities and machine-building industries.
  • C. Alchevsk
    Alchevsk is an industrial city in eastern Ukraine known for its steel and metallurgical plants.
  • D. Kirovsk
    Kirovsk is a small industrial town in northwestern Russia, situated near Saint Petersburg along the Neva River.
  • E. Kirovsk
    Kirovsk is an industrial town in Russia’s Murmansk Oblast, known for its mining industry and location in the Khibiny Mountains on the Kola Peninsula.
  • 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_69ad85793e5c8190a358049bc4a98d8c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada0ffcc208190962cc9edcbf43c31 completed March 8, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bab35a0819081b6c568606b4c37 completed March 12, 2026, 11:26 p.m.
NEDg Description generation batch_69b34ff5a3608190bf8f33ae25b3d1ba completed March 12, 2026, 11:44 p.m.
NED2 Entity disambiguation (via description) batch_69b350b528e4819083497ecfaec5c80d completed March 12, 2026, 11:48 p.m.
Created at: March 8, 2026, 3:02 p.m.