Triple

T1552873
Position Surface form Disambiguated ID Type / Status
Subject Crimean trolleybus line E33132 entity
Predicate passesThrough P225 FINISHED
Object Alushta E67783 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 | Statement: [Crimean trolleybus line, passesThrough, Alushta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alushta
Context triple: [Crimean trolleybus line, passesThrough, Alushta]
  • A. Alushta chosen
    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.
  • B. 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.
  • C. Gökçeada
    Gökçeada is the largest island of Turkey, located in the northern Aegean Sea and known for its Greek heritage, natural landscapes, and traditional villages.
  • D. Chirpoi
    Chirpoi is a small volcanic island in the central Kuril Islands chain in the northwest Pacific Ocean, known for its active volcanoes and rugged, uninhabited landscape.
  • E. Morskie Oko
    Morskie Oko is a famous glacial lake in the Tatra Mountains of southern Poland, renowned for its scenic alpine setting and popularity as a hiking destination.
  • 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_69ad58b7e1088190af92bc0cc8fddfbe completed March 8, 2026, 11:08 a.m.
Created at: March 4, 2026, 7:26 p.m.