Triple

T257225
Position Surface form Disambiguated ID Type / Status
Subject Yalta E5461 entity
Predicate hasPort P35 FINISHED
Object Yalta Commercial Sea Port E33129 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: Yalta Commercial Sea Port | Statement: [Yalta, hasPort, Yalta Commercial Sea Port]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yalta Commercial Sea Port
Context triple: [Yalta, hasPort, Yalta Commercial Sea Port]
  • A. Yalta Sea Port chosen
    Yalta Sea Port is a major maritime harbor and transportation hub serving the resort city of Yalta on the southern coast of the Crimean Peninsula.
  • B. Nakhodka
    Nakhodka is a key port city on Russia’s Pacific coast, serving as an important hub for maritime trade and transport in the Russian Far East.
  • C. Sevastopol
    Sevastopol is a major port city on the Black Sea, historically significant as a naval base and the site of key military conflicts.
  • D. Kerch
    Kerch is a historic port city in eastern Crimea, strategically located on the Kerch Strait linking the Black Sea and the Sea of Azov.
  • 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.
  • 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_69a2580a64ac8190ad76e34bb0715b5e completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a25d5884c88190a349d7593b688921 completed Feb. 28, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3914d5cd08190bd755e1e65feee2a completed March 1, 2026, 1:07 a.m.
Created at: Feb. 28, 2026, 2:55 a.m.