Triple

T51488
Position Surface form Disambiguated ID Type / Status
Subject Sea of Japan E1009 entity
Predicate hasPort P35 FINISHED
Object Vladivostok E2249 NE FINISHED

How this triple was built (2 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: Vladivostok | Statement: [Sea of Japan, hasPort, Vladivostok]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vladivostok
Context triple: [Sea of Japan, hasPort, Vladivostok]
  • A. Volgograd
    Volgograd is a major city in southwestern Russia on the Volga River, historically known as Stalingrad and renowned as the site of one of World War II’s most pivotal and brutal battles.
  • B. Moscow
    Moscow is the capital and largest city of Russia, serving as its political, economic, and cultural center.
  • C. St. Petersburg
    St. Petersburg is a major Russian port city on the Baltic Sea, renowned for its imperial architecture, cultural heritage, and role as a historic capital of Russia.
  • D. Simferopol
    Simferopol is the administrative and cultural center of Crimea, known as a key regional hub for transportation, education, and industry.
  • E. Russia Far East chosen
    The Russia Far East is a vast, sparsely populated region of eastern Russia known for its rugged terrain, rich natural resources, and high seismic and volcanic activity.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a2480baefc81909951b14058479aa2 completed Feb. 28, 2026, 1:42 a.m.
NER Named-entity recognition batch_69a24b0382b48190a7ca80ade6d2e270 completed Feb. 28, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69a27bfdda548190ae43a219cb555ad0 completed Feb. 28, 2026, 5:24 a.m.
Created at: Feb. 28, 2026, 1:47 a.m.