Triple

T12561947
Position Surface form Disambiguated ID Type / Status
Subject Black Sea region E295371 entity
Predicate connectedTo P37 FINISHED
Object Azov Sea E9735 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: Azov Sea | Statement: [Black Sea region, connectedTo, Azov Sea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Azov Sea
Context triple: [Black Sea region, connectedTo, Azov Sea]
  • A. Sea of Azov chosen
    The Sea of Azov is a shallow inland sea in Eastern Europe connected to the Black Sea, bordered by Ukraine and Russia and known for its strategic and economic importance.
  • B. Azov
    Azov is a historic port city in Russia’s Rostov Oblast, located near the mouth of the Don River by the Sea of Azov.
  • C. Kyiv Sea
    Kyiv Sea is a large artificial reservoir on the Dnieper River north of Kyiv, Ukraine, created by a hydroelectric dam and known for its vast, sea-like expanse.
  • D. Zwarte Meer
    Zwarte Meer is a shallow border lake in the Netherlands known for its rich birdlife and protected wetland habitats.
  • E. Black Sea
    The Black Sea is a large inland sea between Eastern Europe and Western Asia, bordered by countries such as Ukraine, Russia, Georgia, Turkey, Bulgaria, and Romania, and connected to the Mediterranean through the Bosporus and Dardanelles straits.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d954933e7c819083471c627ce55ff1 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65eb71c548190826d243a354bd01c completed May 2, 2026, 8:29 p.m.
Created at: April 8, 2026, 11:48 p.m.