Triple

T6704585
Position Surface form Disambiguated ID Type / Status
Subject Yessentuki E152967 entity
Predicate hasNameInRussian P20560 FINISHED
Object Ессентуки
Ессентуки — город-курорт на Северном Кавказе в Ставропольском крае России, известный своими минеральными водами и санаторно-лечебными учреждениями.
 E613877 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: Ессентуки | Statement: [Yessentuki, hasNameInRussian, Ессентуки]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ессентуки
Context triple: [Yessentuki, hasNameInRussian, Ессентуки]
  • A. Podporozhye
    Podporozhye is a town in northwestern Russia situated within Leningrad (Saint Petersburg) Oblast, known for its location along the Svir River.
  • B. Volzhsky
    Volzhsky is a major industrial city in southwestern Russia located across the Volga River from Volgograd.
  • C. Bratsk
    Bratsk is a major industrial city in Siberia, Russia, best known for its large hydroelectric power station and aluminum production facilities.
  • D. Ust-Izhora
    Ust-Izhora is a settlement in the Leningrad Oblast of Russia located at the confluence of the Izhora and Neva rivers, historically notable as a strategic and trading point.
  • E. Ust-Luga
    Ust-Luga is a major Russian Baltic Sea port town that serves as a key cargo and energy export hub for the Leningrad Oblast region.
  • 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: Ессентуки
Triple: [Yessentuki, hasNameInRussian, Ессентуки]
Generated description
Ессентуки — город-курорт на Северном Кавказе в Ставропольском крае России, известный своими минеральными водами и санаторно-лечебными учреждениями.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ессентуки
Target entity description: Ессентуки — город-курорт на Северном Кавказе в Ставропольском крае России, известный своими минеральными водами и санаторно-лечебными учреждениями.
  • A. Podporozhye
    Podporozhye is a town in northwestern Russia situated within Leningrad (Saint Petersburg) Oblast, known for its location along the Svir River.
  • B. Volzhsky
    Volzhsky is a major industrial city in southwestern Russia located across the Volga River from Volgograd.
  • C. Bratsk
    Bratsk is a major industrial city in Siberia, Russia, best known for its large hydroelectric power station and aluminum production facilities.
  • D. Ust-Izhora
    Ust-Izhora is a settlement in the Leningrad Oblast of Russia located at the confluence of the Izhora and Neva rivers, historically notable as a strategic and trading point.
  • E. Ust-Luga
    Ust-Luga is a major Russian Baltic Sea port town that serves as a key cargo and energy export hub for the Leningrad Oblast region.
  • 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_69c68807adbc8190b8632df42b39eda0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d0e919748190953d893eb61724e7 completed March 27, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70088916881908dda568d3116216f completed March 27, 2026, 10:11 p.m.
NEDg Description generation batch_69c7048843e081908b70942a91a390fe completed March 27, 2026, 10:28 p.m.
NED2 Entity disambiguation (via description) batch_69c705240f54819094e8715ffd66b352 completed March 27, 2026, 10:31 p.m.
Created at: March 27, 2026, 2:06 p.m.