Triple

T5971491
Position Surface form Disambiguated ID Type / Status
Subject Russia and Mongolia E132883 entity
Predicate borderCrossings P4105 FINISHED
Object Krasnokamensk–Bichigt
Krasnokamensk–Bichigt is an international border crossing point linking Russia and Mongolia, facilitating road and trade traffic between the two countries.
 E562426 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: Krasnokamensk–Bichigt | Statement: [Russia and Mongolia, borderCrossings, Krasnokamensk–Bichigt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Krasnokamensk–Bichigt
Context triple: [Russia and Mongolia, borderCrossings, Krasnokamensk–Bichigt]
  • A. Kapustin Yar
    Kapustin Yar is a Russian military rocket launch and development site historically used for early Soviet missile and space tests.
  • B. Kyakhta–Altanbulag
    Kyakhta–Altanbulag is a major land border crossing point between Russia and Mongolia that facilitates trade and travel between the two countries.
  • C. Duleevka
    Duleevka is a small settlement in Russia known primarily as the birthplace of Soviet statesman Nikolai Ryzhkov.
  • D. Karamyshevskaya
    Karamyshevskaya is a metro station on Moscow’s Big Circle Line, serving the Khoroshyovo-Mnyovniki area of the city.
  • E. Chertanovskaya
    Chertanovskaya is a Moscow Metro station serving the Chertanovo district in the city’s south.
  • 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: Krasnokamensk–Bichigt
Triple: [Russia and Mongolia, borderCrossings, Krasnokamensk–Bichigt]
Generated description
Krasnokamensk–Bichigt is an international border crossing point linking Russia and Mongolia, facilitating road and trade traffic between the two countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Krasnokamensk–Bichigt
Target entity description: Krasnokamensk–Bichigt is an international border crossing point linking Russia and Mongolia, facilitating road and trade traffic between the two countries.
  • A. Kapustin Yar
    Kapustin Yar is a Russian military rocket launch and development site historically used for early Soviet missile and space tests.
  • B. Kyakhta–Altanbulag
    Kyakhta–Altanbulag is a major land border crossing point between Russia and Mongolia that facilitates trade and travel between the two countries.
  • C. Duleevka
    Duleevka is a small settlement in Russia known primarily as the birthplace of Soviet statesman Nikolai Ryzhkov.
  • D. Karamyshevskaya
    Karamyshevskaya is a metro station on Moscow’s Big Circle Line, serving the Khoroshyovo-Mnyovniki area of the city.
  • E. Chertanovskaya
    Chertanovskaya is a Moscow Metro station serving the Chertanovo district in the city’s south.
  • 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_69c108422220819092ac63e5ebb264b4 completed March 23, 2026, 9:30 a.m.
NEDg Description generation batch_69c10b5816548190b73f19e12cdf8e03 completed March 23, 2026, 9:43 a.m.
NED2 Entity disambiguation (via description) batch_69c10c39fb848190a557278d3cd23560 completed March 23, 2026, 9:47 a.m.
Created at: March 22, 2026, 4:03 p.m.