Triple

T14857085
Position Surface form Disambiguated ID Type / Status
Subject Феодосія E349385 entity
Predicate hasCoast P212 FINISHED
Object Чорне море E7745 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: Чорне море | Statement: [Феодосія, hasCoast, Чорне море]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Чорне море
Context triple: [Феодосія, hasCoast, Чорне море]
  • A. Black Sea chosen
    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.
  • B. Zwarte Meer
    Zwarte Meer is a shallow border lake in the Netherlands known for its rich birdlife and protected wetland habitats.
  • C. 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.
  • D. Kurskiy Zaliv
    Kurskiy Zaliv is the Russian name for the Curonian Lagoon, a shallow Baltic Sea lagoon shared by Lithuania and Russia, known for its unique sand dunes and rich coastal ecosystems.
  • E. Aralʼ dengizi
    Aralʼ dengizi is the Uzbek name for the Aral Sea, a once-vast Central Asian lake that has dramatically shrunk due to river diversion and environmental mismanagement.
  • 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded44458ec8190be295a95f5daab14 completed April 14, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe65087708819084f51a043e5361e9 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:54 a.m.