Triple

T15316661
Position Surface form Disambiguated ID Type / Status
Subject Grafskaya Wharf E366175 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: [Grafskaya Wharf, hasViewOf, Sevastopol Bay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sevastopol Bay
Context triple: [Grafskaya Wharf, 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. Gelendzhik Bay
    Gelendzhik Bay is a scenic Black Sea inlet on Russia’s Caucasian coast, known for its resort beaches and the seaside city of Gelendzhik along its shores.
  • D. Tuapse Bay
    Tuapse Bay is a coastal inlet on the northeastern shore of the Black Sea, serving as the maritime setting for the Russian port city of Tuapse.
  • E. 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.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03dd1d384819098f38402a8740d91 completed April 16, 2026, 1:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b3dac6c81908eaa0aaad29113ee completed May 9, 2026, 10:23 a.m.
Created at: April 10, 2026, 3:16 a.m.