Triple

T23288932
Position Surface form Disambiguated ID Type / Status
Subject North Korea–Russia border E589971 entity
Predicate connectsSettlement P8239 FINISHED
Object Khasan
Khasan is a small Russian border village in Primorsky Krai, notable as a key rail and road crossing point between Russia and North Korea.
 E1580158 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: Khasan | Statement: [North Korea–Russia border, connectsSettlement, Khasan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Khasan
Context triple: [North Korea–Russia border, connectsSettlement, Khasan]
  • A. Khashin
    Khashin was a son of the Mongol prince Kaidu, a member of the Borjigin lineage active during the era of the Mongol Empire’s fragmentation.
  • B. Khashuri
    Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
  • C. Esenguly
    Esenguly is a town in western Turkmenistan located in the Balkan Region near the Caspian Sea.
  • D. Kaspichan
    Kaspichan is a small town in northeastern Bulgaria known as a local transport and administrative center within Shumen Province.
  • E. Mirsaid
    Mirsaid was a Tatar Bolshevik revolutionary and early Soviet theorist known for advocating a synthesis of Marxism and anti-colonial nationalism.
  • 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: Khasan
Triple: [North Korea–Russia border, connectsSettlement, Khasan]
Generated description
Khasan is a small Russian border village in Primorsky Krai, notable as a key rail and road crossing point between Russia and North Korea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Khasan
Target entity description: Khasan is a small Russian border village in Primorsky Krai, notable as a key rail and road crossing point between Russia and North Korea.
  • A. Khashin
    Khashin was a son of the Mongol prince Kaidu, a member of the Borjigin lineage active during the era of the Mongol Empire’s fragmentation.
  • B. Khashuri
    Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
  • C. Esenguly
    Esenguly is a town in western Turkmenistan located in the Balkan Region near the Caspian Sea.
  • D. Kaspichan
    Kaspichan is a small town in northeastern Bulgaria known as a local transport and administrative center within Shumen Province.
  • E. Mirsaid
    Mirsaid was a Tatar Bolshevik revolutionary and early Soviet theorist known for advocating a synthesis of Marxism and anti-colonial nationalism.
  • 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_69e25d1af9d88190a0b9b5e8fa608618 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19649570c8190b565fafa55b1f886 completed April 29, 2026, 5:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c4c8c2f9081908123a02dcc37ea30 completed May 19, 2026, 11:42 a.m.
NEDg Description generation batch_6a0c4ee292f08190a44326d433f37c65 completed May 19, 2026, 11:52 a.m.
NED2 Entity disambiguation (via description) batch_6a0c4f796b688190a8971ebd238e08f2 completed May 19, 2026, 11:54 a.m.
Created at: April 17, 2026, 5:01 p.m.