Triple

T3532029
Position Surface form Disambiguated ID Type / Status
Subject Monument to the Sunken Ships E74680 entity
Predicate hasViewOf P854 FINISHED
Object Sevastopol Bay E366171 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: Sevastopol Bay | Statement: [Monument to the Sunken Ships, hasViewOf, Sevastopol Bay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sevastopol Bay
Context triple: [Monument to the Sunken Ships, hasViewOf, Sevastopol Bay]
  • A. Sevastopol Bay chosen
    Sevastopol Bay is a strategic natural harbor on the Black Sea in Crimea, known for its naval history and role as the main base of the Russian Black Sea Fleet.
  • B. Berdyansk Bay
    Berdyansk Bay is a shallow bay of the Sea of Azov in southeastern Ukraine, known for its coastal resort areas and the port city of Berdyansk on its shores.
  • C. Nagaev Bay
    Nagaev Bay is a coastal inlet of the Sea of Okhotsk in Russia’s Far East, serving as the main harbor area for the port city of Magadan.
  • 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. Sevastopolskaya
    Sevastopolskaya is a Moscow Metro station serving the Serpukhovsko–Timiryazevskaya Line in the city’s southern part.
  • 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_69ad85d1a3948190931fd1ea1f49717b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc9a14c881908932b17ed3eececb completed March 8, 2026, 6:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bcc879c8190ab4ab3e2b67d9a16 completed March 13, 2026, 4 a.m.
Created at: March 8, 2026, 3:19 p.m.