Triple

T23406010
Position Surface form Disambiguated ID Type / Status
Subject Solovyevsk–Ereentsav E559935 entity
Predicate connectsSettlement P8239 FINISHED
Object Solovyevsk
Solovyevsk is a rural locality in Russia, known primarily as a border settlement near the Russian–Mongolian frontier.
E1584262 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: Solovyevsk | Statement: [Solovyevsk–Ereentsav, connectsSettlement, Solovyevsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Solovyevsk
Context triple: [Solovyevsk–Ereentsav, connectsSettlement, Solovyevsk]
  • A. Petrovskoye
    Petrovskoye was the original Russian fortress settlement that later developed into the modern city of Makhachkala in Dagestan, Russia.
  • B. Zhigulevsk
    Zhigulevsk is an industrial city in Russia located on the Volga River, known for its proximity to the Zhiguli Mountains and the Zhiguli Hydroelectric Station.
  • C. Volodarsk
    Volodarsk is a town in Nizhny Novgorod Oblast, Russia, known for its location along the Klyazma River and its industrial character.
  • D. Yuzovka
    Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
  • E. Skovorodino
    Skovorodino is a small town in Russia’s Far Eastern Amur Oblast, known historically as a railway junction on the Trans-Siberian Railway.
  • 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: Solovyevsk
Triple: [Solovyevsk–Ereentsav, connectsSettlement, Solovyevsk]
Generated description
Solovyevsk is a rural locality in Russia, known primarily as a border settlement near the Russian–Mongolian frontier.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Solovyevsk
Target entity description: Solovyevsk is a rural locality in Russia, known primarily as a border settlement near the Russian–Mongolian frontier.
  • A. Petrovskoye
    Petrovskoye was the original Russian fortress settlement that later developed into the modern city of Makhachkala in Dagestan, Russia.
  • B. Zhigulevsk
    Zhigulevsk is an industrial city in Russia located on the Volga River, known for its proximity to the Zhiguli Mountains and the Zhiguli Hydroelectric Station.
  • C. Volodarsk
    Volodarsk is a town in Nizhny Novgorod Oblast, Russia, known for its location along the Klyazma River and its industrial character.
  • D. Yuzovka
    Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
  • E. Skovorodino
    Skovorodino is a small town in Russia’s Far Eastern Amur Oblast, known historically as a railway junction on the Trans-Siberian Railway.
  • 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_69e2454b3a5881909c64773dc8a5d289 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a4e364548190b98dc09240fba58e completed April 29, 2026, 6:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c5df67cac8190868ab0068248be07 completed May 19, 2026, 12:56 p.m.
NEDg Description generation batch_6a0c5ff391208190a1e5e5d3604de8fb completed May 19, 2026, 1:04 p.m.
NED2 Entity disambiguation (via description) batch_6a0c609b4e108190a8abe634d326f62d completed May 19, 2026, 1:07 p.m.
Created at: April 17, 2026, 5:38 p.m.