Triple

T151635
Position Surface form Disambiguated ID Type / Status
Subject Moscow Time E3442 entity
Predicate usedInCity P4810 FINISHED
Object Sochi
Sochi is a Russian resort city on the Black Sea coast, known for its subtropical climate, beaches, and as the host of the 2014 Winter Olympics.
 E33306 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: Sochi | Statement: [Moscow Time, usedInCity, Sochi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sochi
Context triple: [Moscow Time, usedInCity, Sochi]
  • A. Moscow
    Moscow is the capital and largest city of Russia, serving as its political, economic, and cultural center.
  • B. Vladivostok
    Vladivostok is a major Russian port city on the Pacific Ocean, serving as the eastern terminus of the Trans-Siberian Railway and a key naval and commercial hub near the borders with China and North Korea.
  • C. Yakutsk
    Yakutsk is a major city in northeastern Siberia, Russia, known as one of the coldest large cities in the world and a key administrative and cultural center of the Sakha Republic.
  • D. Sofia
    Sofia is the capital and largest city of Bulgaria, known as a major cultural, economic, and historical center in the Balkans.
  • E. Novorossiysk
    Novorossiysk is a major port city on Russia’s Black Sea coast that serves as an important naval and commercial 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: Sochi
Triple: [Moscow Time, usedInCity, Sochi]
Generated description
Sochi is a Russian resort city on the Black Sea coast, known for its subtropical climate, beaches, and as the host of the 2014 Winter Olympics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sochi
Target entity description: Sochi is a Russian resort city on the Black Sea coast, known for its subtropical climate, beaches, and as the host of the 2014 Winter Olympics.
  • A. Moscow
    Moscow is the capital and largest city of Russia, serving as its political, economic, and cultural center.
  • B. Vladivostok
    Vladivostok is a major Russian port city on the Pacific Ocean, serving as the eastern terminus of the Trans-Siberian Railway and a key naval and commercial hub near the borders with China and North Korea.
  • C. Yakutsk
    Yakutsk is a major city in northeastern Siberia, Russia, known as one of the coldest large cities in the world and a key administrative and cultural center of the Sakha Republic.
  • D. Sofia
    Sofia is the capital and largest city of Bulgaria, known as a major cultural, economic, and historical center in the Balkans.
  • E. Novorossiysk
    Novorossiysk is a major port city on Russia’s Black Sea coast that serves as an important naval and commercial 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_69a252868de4819080e21c9938bfe8b6 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a2580f55a88190b37b54ee0ed5ac7c completed Feb. 28, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3795173e88190afe87259edd4f275 completed Feb. 28, 2026, 11:25 p.m.
NEDg Description generation batch_69a379bb6adc8190a07176567d8772cd completed Feb. 28, 2026, 11:26 p.m.
NED2 Entity disambiguation (via description) batch_69a37a227b0c8190afc5c44192ef5a86 completed Feb. 28, 2026, 11:28 p.m.
Created at: Feb. 28, 2026, 2:31 a.m.