Triple

T10543448
Position Surface form Disambiguated ID Type / Status
Subject Azov E248753 entity
Predicate hasNameInRussian P20560 FINISHED
Object Азов E248753 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: Азов | Statement: [Azov, hasNameInRussian, Азов]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Азов
Context triple: [Azov, hasNameInRussian, Азов]
  • A. Azov chosen
    Azov is a historic port city in Russia’s Rostov Oblast, located near the mouth of the Don River by the Sea of Azov.
  • B. Sea of Azov
    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.
  • C. Taganrog Bay of the Sea of Azov
    Taganrog Bay of the Sea of Azov is a shallow northeastern inlet of the Sea of Azov, known for its ports, fisheries, and role as an important maritime area in southern Russia and eastern Ukraine.
  • D. Kuban
    Kuban is a Turkish surname most notably borne by the prominent architectural historian and scholar Doğan Kuban.
  • E. Nieuwe Meer
    Nieuwe Meer is a lake in the Netherlands, situated on the western edge of Amsterdam and used for recreation and water management.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d51911b10481909e6e548879e8de36 completed April 7, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95e68d1288190920c26cbfd396a21 completed April 10, 2026, 8:32 p.m.
Created at: April 6, 2026, 12:32 p.m.