Triple

T10601263
Position Surface form Disambiguated ID Type / Status
Subject Odesa Oblast E275751 entity
Predicate containsCity P294 FINISHED
Object Chornomorsk E236857 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: Chornomorsk | Statement: [Odesa Oblast, containsCity, Chornomorsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chornomorsk
Context triple: [Odesa Oblast, containsCity, Chornomorsk]
  • A. Odesa
    Odesa is a major port city on the Black Sea in southern Ukraine, known for its historic architecture, multicultural heritage, and key economic and cultural role in the country.
  • B. Mykolaiv
    Mykolaiv is a major shipbuilding and industrial city in southern Ukraine located near the Black Sea.
  • C. Kryvyi Rih
    Kryvyi Rih is a major industrial city in central Ukraine known for its extensive iron ore mining and steel production.
  • D. Port of Chornomorsk chosen
    The Port of Chornomorsk is a major Ukrainian Black Sea seaport and transport hub near Odesa, handling significant cargo and passenger traffic.
  • E. Sievierodonetsk
    Sievierodonetsk is an industrial city in eastern Ukraine that became a focal point of intense fighting during the war in the Donbas and the 2022 Russian invasion.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6ded52f288190b40288d0acbe009b completed April 8, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95ea8f1688190aa36e29b52667d26 completed April 10, 2026, 8:33 p.m.
Created at: April 8, 2026, 7:31 p.m.