Triple

T5971488
Position Surface form Disambiguated ID Type / Status
Subject Russia and Mongolia E132883 entity
Predicate borderCrossings P4105 FINISHED
Object Tashanta–Tsagaannuur
Tashanta–Tsagaannuur is a remote road border crossing point in the Altai region that connects Russia with Mongolia.
 E566234 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: Tashanta–Tsagaannuur | Statement: [Russia and Mongolia, borderCrossings, Tashanta–Tsagaannuur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tashanta–Tsagaannuur
Context triple: [Russia and Mongolia, borderCrossings, Tashanta–Tsagaannuur]
  • A. Khorol
    Khorol is a town in central Ukraine historically situated within the former Poltava Governorate of the Russian Empire.
  • B. Bayan-Ölgii
    Bayan-Ölgii is a western Mongolian province known for its predominantly Kazakh population, rich nomadic culture, and dramatic Altai Mountain landscapes.
  • C. Selenge
    Selenge is a northern Mongolian province (aimag) known for its agricultural lands and strategic location along the border with Russia.
  • D. Toktogul
    Toktogul is a town in central Kyrgyzstan known for its proximity to the Toktogul Reservoir and its role in regional hydropower and agriculture.
  • E. Ulanqab
    Ulanqab is a prefecture-level city in central Inner Mongolia, China, known for its grassland landscapes, agriculture, and strategic position as a transportation hub.
  • 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: Tashanta–Tsagaannuur
Triple: [Russia and Mongolia, borderCrossings, Tashanta–Tsagaannuur]
Generated description
Tashanta–Tsagaannuur is a remote road border crossing point in the Altai region that connects Russia with Mongolia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tashanta–Tsagaannuur
Target entity description: Tashanta–Tsagaannuur is a remote road border crossing point in the Altai region that connects Russia with Mongolia.
  • A. Khorol
    Khorol is a town in central Ukraine historically situated within the former Poltava Governorate of the Russian Empire.
  • B. Bayan-Ölgii
    Bayan-Ölgii is a western Mongolian province known for its predominantly Kazakh population, rich nomadic culture, and dramatic Altai Mountain landscapes.
  • C. Selenge
    Selenge is a northern Mongolian province (aimag) known for its agricultural lands and strategic location along the border with Russia.
  • D. Toktogul
    Toktogul is a town in central Kyrgyzstan known for its proximity to the Toktogul Reservoir and its role in regional hydropower and agriculture.
  • E. Ulanqab
    Ulanqab is a prefecture-level city in central Inner Mongolia, China, known for its grassland landscapes, agriculture, and strategic position as a transportation hub.
  • 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_69c11cd3988c8190aecc690a02c26c25 completed March 23, 2026, 10:58 a.m.
NEDg Description generation batch_69c11e4454948190a8f4643cb55e673a completed March 23, 2026, 11:04 a.m.
NED2 Entity disambiguation (via description) batch_69c11ec554688190bfe184608944a15e completed March 23, 2026, 11:06 a.m.
Created at: March 22, 2026, 4:03 p.m.