Triple

T16999664
Position Surface form Disambiguated ID Type / Status
Subject Tana E412408 entity
Predicate locatedOn P40 FINISHED
Object Sea of Azov 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: Sea of Azov | Statement: [Tana, locatedOn, Sea of Azov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sea of Azov
Context triple: [Tana, locatedOn, Sea of Azov]
  • 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. 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.
  • E. Black Sea and Sea of Azov
    The Black Sea and the Sea of Azov are two connected inland seas in Eastern Europe, linked by the Kerch Strait and bordered by countries including Russia and Ukraine.
  • 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d37cd6248190a7202ae754882640 completed April 18, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b451ff88190b63f4ebddf93f153 completed May 10, 2026, 11:56 p.m.
Created at: April 10, 2026, 5:32 a.m.