Triple

T1201784
Position Surface form Disambiguated ID Type / Status
Subject Krasnodar Krai E25796 entity
Predicate hasPort P35 FINISHED
Object Yeisk E55933 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: Yeisk | Statement: [Krasnodar Krai, hasPort, Yeisk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yeisk
Context triple: [Krasnodar Krai, hasPort, Yeisk]
  • A. Yeysk chosen
    Yeysk is a Russian port town and resort on the Sea of Azov, known for its beaches, shallow waters, and role as a regional fishing and shipping center.
  • B. Serebryanye Prudy
    Serebryanye Prudy is a rural locality in Moscow Oblast, Russia, historically notable as the birthplace of Soviet Marshal Vasily Chuikov.
  • C. Pechenga
    Pechenga is a region in Russia’s far northwest, near the Barents Sea and the Norwegian border, historically known as Petsamo when it belonged to Finland.
  • D. Kholmsk
    Kholmsk is a port town on the western coast of Sakhalin Island in Russia, serving as an important maritime transport hub in the Sea of Japan.
  • E. Ksudach
    Ksudach is a large stratovolcano in Russia’s Kamchatka Peninsula known for its caldera-forming eruptions and remote, rugged landscape.
  • 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_69a49429f5ec8190a6a205eb0ae81e5e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd9fece4819089a6a2d61e61fa2e completed March 1, 2026, 10:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac99775ca081909e4d8c81c40c277b completed March 7, 2026, 9:32 p.m.
Created at: March 1, 2026, 7:46 p.m.