Triple

T3494318
Position Surface form Disambiguated ID Type / Status
Subject Sevastopol–Yalta highway E73812 entity
Predicate serves P98 FINISHED
Object port of Sevastopol E11453 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: port of Sevastopol | Statement: [Sevastopol–Yalta highway, serves, port of Sevastopol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: port of Sevastopol
Context triple: [Sevastopol–Yalta highway, serves, port of Sevastopol]
  • A. Sevastopol chosen
    Sevastopol is a major port city on the Black Sea, historically significant as a naval base and the site of key military conflicts.
  • B. Port of Berdyansk
    The Port of Berdyansk is a key commercial seaport on the northern coast of the Sea of Azov, serving as an important maritime gateway for regional trade and industry.
  • C. Port of Kherson
    The Port of Kherson is a key river and sea transport hub on the Dnieper River near the Black Sea, serving as an important center for cargo handling and regional trade in southern Ukraine.
  • D. Port of Chornomorsk
    The Port of Chornomorsk is a major Ukrainian Black Sea seaport and transport hub near Odesa, handling significant cargo and passenger traffic.
  • E. 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.
  • 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_69ad85cdb6e48190a335d412b9194ed8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbaebed881909d9cbc9c4c1f138f completed March 8, 2026, 6:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4daeff8c0819097e60f893e6669d5 completed March 14, 2026, 3:50 a.m.
Created at: March 8, 2026, 3:18 p.m.