Triple

T599134
Position Surface form Disambiguated ID Type / Status
Subject Sevastopol E11453 entity
Predicate hasPort P35 FINISHED
Object Sevastopol Port E11453 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: Sevastopol Port | Statement: [Sevastopol, hasPort, Sevastopol Port]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sevastopol Port
Context triple: [Sevastopol, hasPort, Sevastopol Port]
  • A. Yalta Sea Port
    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. Sevastopol chosen
    Sevastopol is a major port city on the Black Sea, historically significant as a naval base and the site of key military conflicts.
  • C. Kronstadt
    Kronstadt is a historic Russian naval port and fortress city located on Kotlin Island near Saint Petersburg, long serving as a key base for the Russian Baltic Fleet.
  • D. Novorossiysk
    Novorossiysk is a major port city on Russia’s Black Sea coast that serves as an important naval and commercial hub.
  • E. 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.
  • 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_69a4932779b881908688590d59c71900 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49d78c0f08190b83ad89062ccb0b9 completed March 1, 2026, 8:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a51f37f8748190bff705fd2bbc489c completed March 2, 2026, 5:25 a.m.
Created at: March 1, 2026, 7:35 p.m.