Triple

T7756396
Position Surface form Disambiguated ID Type / Status
Subject Yalta bus station E175907 entity
Predicate hasNearby P350 FINISHED
Object Yalta city center E179735 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: Yalta city center | Statement: [Yalta bus station, hasNearby, Yalta city center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yalta city center
Context triple: [Yalta bus station, hasNearby, Yalta city center]
  • A. Yalta city center chosen
    Yalta city center is the main urban and tourist hub of Yalta, featuring historic architecture, commercial streets, and access to the city’s popular seaside promenade.
  • B. Yalta bus station
    Yalta bus station is a major public transport hub in the city of Yalta on the Crimean Peninsula, serving intercity buses and trolleybuses that connect the resort area with other parts of Crimea.
  • C. Moscow city center
    Moscow city center is the historic and administrative heart of Russia’s capital, encompassing landmarks such as the Kremlin, Red Square, and major government and cultural institutions.
  • D. Tselinograd
    Tselinograd was the Soviet-era name of Kazakhstan’s capital city, now known as Astana.
  • E. Alma-Atinskaya
    Alma-Atinskaya is a southern terminus station of the Moscow Metro, serving as one endpoint of the Zamoskvoretskaya Line.
  • 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_69c6996180088190832e38e8d83ff54a completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703db54c08190a6feb548adef929f completed March 27, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be60e34c8190a0a1c1a10cbf39b1 completed March 29, 2026, 5:53 a.m.
Created at: March 27, 2026, 4:08 p.m.