Triple

T6118516
Position Surface form Disambiguated ID Type / Status
Subject Vaninsky District E136420 entity
Predicate hasPort P35 FINISHED
Object Vanino seaport E25214 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: Vanino seaport | Statement: [Vaninsky District, hasPort, Vanino seaport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vanino seaport
Context triple: [Vaninsky District, hasPort, Vanino seaport]
  • A. Vanino chosen
    Vanino is a key port town in Russia’s Far East that serves as an important hub for maritime trade and transport in the region.
  • B. Yalta Sea Port
    Yalta Sea Port is a major maritime harbor and transportation hub serving the resort city of Yalta on the southern coast of the Crimean Peninsula.
  • C. Sovetskaya Gavan
    Sovetskaya Gavan is a port town on the Strait of Tartary in Russia’s Far East, serving as an important maritime and transport hub in Khabarovsk Krai.
  • D. Liman
    Liman is a surname most notably associated with American film director and producer Doug Liman.
  • E. Port of Taman
    The Port of Taman is a major Russian seaport on the Black Sea coast, serving as a key hub for bulk cargo and energy exports from the Taman Peninsula.
  • 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_69c0089f851c81909e5e189a617dcff6 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05bec9b8c8190b3268b0ba952aae6 completed March 22, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20d56f234819082d89a755ae5a446 completed March 24, 2026, 4:04 a.m.
Created at: March 22, 2026, 4:14 p.m.