Triple

T5971490
Position Surface form Disambiguated ID Type / Status
Subject Russia and Mongolia E132883 entity
Predicate borderCrossings P4105 FINISHED
Object Solovyevsk–Ereentsav
Solovyevsk–Ereentsav is an international border crossing point linking Russia and Mongolia.
 E559935 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–Ereentsav | Statement: [Russia and Mongolia, borderCrossings, Solovyevsk–Ereentsav]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Solovyevsk–Ereentsav
Context triple: [Russia and Mongolia, borderCrossings, Solovyevsk–Ereentsav]
  • A. Sergiyev
    Sergiyev is the former name of the Russian town now known as Sergiyev Posad, a historic center of Orthodox Christianity northeast of Moscow.
  • B. Terekhovo
    Terekhovo is a metro station on Moscow’s Big Circle Line, serving the Terekhovo area in the western part of the city.
  • C. Otradnoye
    Otradnoye is a town in Russia located within the Leningrad (Saint Petersburg) region, known for its position along the Neva River and proximity to Saint Petersburg.
  • D. Otradnoye
    Otradnoye is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line serving the Otradnoye District in northern Moscow.
  • E. Kireyevsk
    Kireyevsk is a small industrial town in western Russia known for its coal-mining history and location within the Tula 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: Solovyevsk–Ereentsav
Triple: [Russia and Mongolia, borderCrossings, Solovyevsk–Ereentsav]
Generated description
Solovyevsk–Ereentsav is an international border crossing point linking Russia and Mongolia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Solovyevsk–Ereentsav
Target entity description: Solovyevsk–Ereentsav is an international border crossing point linking Russia and Mongolia.
  • A. Sergiyev
    Sergiyev is the former name of the Russian town now known as Sergiyev Posad, a historic center of Orthodox Christianity northeast of Moscow.
  • B. Terekhovo
    Terekhovo is a metro station on Moscow’s Big Circle Line, serving the Terekhovo area in the western part of the city.
  • C. Otradnoye
    Otradnoye is a town in Russia located within the Leningrad (Saint Petersburg) region, known for its position along the Neva River and proximity to Saint Petersburg.
  • D. Otradnoye
    Otradnoye is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line serving the Otradnoye District in northern Moscow.
  • E. Kireyevsk
    Kireyevsk is a small industrial town in western Russia known for its coal-mining history and location within the Tula 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_69c0086deab081908550159ca23eec9b completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0560bae148190ad4755defaaf471b completed March 22, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e40a67bc8190a57884f7c6aa1b9d completed March 23, 2026, 6:56 a.m.
NEDg Description generation batch_69c0f88f4e048190810351c4aebf363c completed March 23, 2026, 8:23 a.m.
NED2 Entity disambiguation (via description) batch_69c0f982c95c819081b2cf2c429c21bc completed March 23, 2026, 8:27 a.m.
Created at: March 22, 2026, 4:03 p.m.