Triple

T2773260
Position Surface form Disambiguated ID Type / Status
Subject Tupolev Tu-114 E61507 entity
Predicate usedOnRoute P21808 FINISHED
Object Moscow–Tokyo
Moscow–Tokyo refers to the long-haul international air route connecting the capitals of Russia and Japan.
 E298237 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: Moscow–Tokyo | Statement: [Tupolev Tu-114, usedOnRoute, Moscow–Tokyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Moscow–Tokyo
Context triple: [Tupolev Tu-114, usedOnRoute, Moscow–Tokyo]
  • A. Seoul–Tokyo
    Seoul–Tokyo is a major international air route connecting the capitals of South Korea and Japan, serving as a key corridor for business and tourism between the two countries.
  • B. Taipei–Tokyo
    Taipei–Tokyo is a major East Asian air route connecting the capital of Taiwan with Japan’s largest metropolitan area, served by numerous carriers and popular for both business and tourism travel.
  • C. Nadi–Tokyo
    Nadi–Tokyo is an international flight route linking Nadi, Fiji with Tokyo, Japan, serving as a key air connection between the South Pacific and East Asia.
  • D. Pushkino
    Pushkino is a town in Russia that serves as a suburban residential and industrial center northeast of Moscow.
  • E. Seoul–New York
    Seoul–New York is a major intercontinental air route linking South Korea’s capital with the largest city in the United States.
  • 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: Moscow–Tokyo
Triple: [Tupolev Tu-114, usedOnRoute, Moscow–Tokyo]
Generated description
Moscow–Tokyo refers to the long-haul international air route connecting the capitals of Russia and Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Moscow–Tokyo
Target entity description: Moscow–Tokyo refers to the long-haul international air route connecting the capitals of Russia and Japan.
  • A. Seoul–Tokyo
    Seoul–Tokyo is a major international air route connecting the capitals of South Korea and Japan, serving as a key corridor for business and tourism between the two countries.
  • B. Taipei–Tokyo
    Taipei–Tokyo is a major East Asian air route connecting the capital of Taiwan with Japan’s largest metropolitan area, served by numerous carriers and popular for both business and tourism travel.
  • C. Nadi–Tokyo
    Nadi–Tokyo is an international flight route linking Nadi, Fiji with Tokyo, Japan, serving as a key air connection between the South Pacific and East Asia.
  • D. Pushkino
    Pushkino is a town in Russia that serves as a suburban residential and industrial center northeast of Moscow.
  • E. Seoul–New York
    Seoul–New York is a major intercontinental air route linking South Korea’s capital with the largest city in the United States.
  • 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_69ab4b7cd13481909174bca9809ed259 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abe0895e5881909702e69aaee5c425 completed March 7, 2026, 8:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc0553588819098d478b4aaa18478 completed March 10, 2026, 6:55 a.m.
NEDg Description generation batch_69afc1c74ecc8190ba8b9926ff28f24e completed March 10, 2026, 7:01 a.m.
NED2 Entity disambiguation (via description) batch_69afc2d5aecc81909ce90a7e891568c9 completed March 10, 2026, 7:05 a.m.
Created at: March 6, 2026, 9:57 p.m.