Triple

T6945743
Position Surface form Disambiguated ID Type / Status
Subject Karelian Front E160793 entity
Predicate headquartersLocation P62 FINISHED
Object Belomorsk E175448 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: Belomorsk | Statement: [Karelian Front, headquartersLocation, Belomorsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belomorsk
Context triple: [Karelian Front, headquartersLocation, Belomorsk]
  • A. Moscow Sea
    Moscow Sea is the popular name for the Ivankovo Reservoir, a large artificial lake on the Volga River that serves as a key water source and recreational area for Moscow.
  • B. White Sea
    The White Sea is a southern inlet of the Barents Sea in the northwest of Russia, known as an important Arctic marginal sea with major ports like Arkhangelsk and connections to Russia’s inland waterways.
  • C. Kandalaksha
    Kandalaksha is a Russian port town on the Kandalaksha Gulf of the White Sea, known for its Arctic location and nearby nature reserve.
  • D. Nagatinsky Zaton
    Nagatinsky Zaton is a metro station on Moscow’s Big Circle Line serving the Nagatinsky Zaton district in the city’s southeast.
  • E. White Sea Karelia chosen
    White Sea Karelia is a coastal region of Karelia in northwestern Russia, characterized by its location along the White Sea and its sparsely populated, forested and maritime landscapes.
  • 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_69c68850419081909fb426b8f5a304c7 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da8a65c48190b6862fc60f6c7f7a completed March 27, 2026, 7:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7882e3cfc81909ca7ecf507ac9adc completed March 28, 2026, 7:50 a.m.
Created at: March 27, 2026, 2:28 p.m.