Triple

T1552884
Position Surface form Disambiguated ID Type / Status
Subject Crimean trolleybus line E33132 entity
Predicate segment P889 FINISHED
Object Alushta–Yalta E33129 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: Alushta–Yalta | Statement: [Crimean trolleybus line, segment, Alushta–Yalta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alushta–Yalta
Context triple: [Crimean trolleybus line, segment, Alushta–Yalta]
  • A. Kerch
    Kerch is a historic port city in eastern Crimea, strategically located on the Kerch Strait linking the Black Sea and the Sea of Azov.
  • B. Alushta
    Alushta is a resort town on the southern coast of Crimea, known for its beaches, mild climate, and role as a popular Black Sea tourist destination.
  • C. Sevastopol
    Sevastopol is a major port city on the Black Sea, historically significant as a naval base and the site of key military conflicts.
  • D. Yalta Sea Port chosen
    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.
  • E. Bakhchisarai
    Bakhchisarai is a historic town in Crimea that served as the political and cultural center of the Crimean Tatar khans, renowned for its palaces, mosques, and oriental architecture.
  • 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_69a885ee6db8819099502bc5ce8af881 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9086c96bc8190bed8b290fa16f21b completed March 5, 2026, 4:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad68079e448190b71c2cd194abeb86 completed March 8, 2026, 12:13 p.m.
Created at: March 4, 2026, 7:26 p.m.