Triple

T4518691
Position Surface form Disambiguated ID Type / Status
Subject Navy Day of Russia E103212 entity
Predicate typicalLocation P3231 FINISHED
Object Novorossiysk E31261 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: Novorossiysk | Statement: [Navy Day of Russia, typicalLocation, Novorossiysk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Novorossiysk
Context triple: [Navy Day of Russia, typicalLocation, Novorossiysk]
  • A. Novorossiysk chosen
    Novorossiysk is a major port city on Russia’s Black Sea coast that serves as an important naval and commercial hub.
  • B. Gelendzhik
    Gelendzhik is a Black Sea resort city in southern Russia known for its beaches, scenic bay, and tourism infrastructure.
  • C. Taganrog
    Taganrog is a port city in southwestern Russia on the northern coast of the Sea of Azov, known for its maritime trade and as the birthplace of writer Anton Chekhov.
  • D. Novocherkassk
    Novocherkassk is a historic city in Russia’s Rostov Oblast that served as a key Cossack and military administrative center.
  • E. Berdyansk
    Berdyansk is a port city in southeastern Ukraine on the northern coast of the Sea of Azov, known for its maritime trade, beaches, and resort facilities.
  • 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_69bd43dba59881908cf59b31df8c7ae1 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd57465a10819086866e29f7a6eb02 completed March 20, 2026, 2:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd7f981c4c8190b0ab4a73c70ebbc1 completed March 20, 2026, 5:10 p.m.
Created at: March 20, 2026, 1:02 p.m.