Triple

T3315960
Position Surface form Disambiguated ID Type / Status
Subject Primorsky Krai E69681 entity
Predicate containsCity P294 FINISHED
Object Nakhodka E25014 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: Nakhodka | Statement: [Primorsky Krai, containsCity, Nakhodka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nakhodka
Context triple: [Primorsky Krai, containsCity, Nakhodka]
  • A. Nakhodka chosen
    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.
  • B. Severo-Kurilsk Port
    Severo-Kurilsk Port is a remote Russian seaport on the Kuril Islands that serves as a key hub for local fishing, transport, and supply in the North Pacific.
  • C. Nikolayevsk-on-Amur
    Nikolayevsk-on-Amur is a port city in Russia’s Khabarovsk Krai, historically significant as an early Russian outpost in the Far East near the mouth of the Amur River.
  • 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. Komsomolsk-on-Amur
    Komsomolsk-on-Amur is a major industrial city in Russia’s Khabarovsk Krai, known for its shipbuilding and aircraft manufacturing industries in the Russian Far East.
  • 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_69ad85a0bb048190a5458d2738012d61 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb110b28081909b366623e3b0783d completed March 8, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3fa347481909432bd0178e7ea57 completed March 12, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:11 p.m.