Triple

T19191261
Position Surface form Disambiguated ID Type / Status
Subject Russian Pacific Fleet E469842 entity
Predicate hasBase P2909 FINISHED
Object Sovetskaya Gavan NE NERFINISHED

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: Sovetskaya Gavan | Statement: [Russian Pacific Fleet, hasBase, Sovetskaya Gavan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sovetskaya Gavan
Context triple: [Russian Pacific Fleet, hasBase, Sovetskaya Gavan]
  • A. Sovetskaya Gavan chosen
    Sovetskaya Gavan is a port town on the Strait of Tartary in Russia’s Far East, serving as an important maritime and transport hub in Khabarovsk Krai.
  • B. Alexeyevsk
    Alexeyevsk is the former name of the Russian town now known as Belogorsk, located in Amur Oblast in the Russian Far East.
  • C. 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.
  • D. Severomorsk
    Severomorsk is a closed naval town in Russia’s Murmansk Oblast that serves as the main base of the Russian (formerly Soviet) Northern Fleet on the Barents Sea.
  • E. Lomonosov seaport
    Lomonosov seaport is a maritime port facility serving the town of Lomonosov near Saint Petersburg, Russia, handling regional cargo and passenger traffic in the Gulf of Finland.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd0ad9088190a173b32657ae2e7a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f8a226dc8190a8a96960a4180298 completed April 20, 2026, 9:57 a.m.
Created at: April 10, 2026, 12:07 p.m.