Triple

T17709754
Position Surface form Disambiguated ID Type / Status
Subject Sviatoshynsko–Brovarska line E441531 entity
Predicate hasStation P35 FINISHED
Object Akademmistechko NE NERFINISHED

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: Akademmistechko | Statement: [Sviatoshynsko–Brovarska line, hasStation, Akademmistechko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akademmistechko
Context triple: [Sviatoshynsko–Brovarska line, hasStation, Akademmistechko]
  • A. Akademmistechko chosen
    Akademmistechko is a Kyiv Metro station serving as the western endpoint of the city’s Sviatoshynsko–Brovarska line.
  • B. Akademicheskaya
    Akademicheskaya is a metro station in Saint Petersburg, Russia, serving the Vyborgsky District on the city's rapid transit network.
  • C. Academe
    Academe is a scholarly magazine published by the American Association of University Professors that focuses on issues in higher education, academic freedom, and faculty governance.
  • D. Académica
    Académica is a historic Portuguese sports club and football team from Coimbra, traditionally associated with the University of Coimbra and its student community.
  • E. Politekhnicheskaya
    Politekhnicheskaya is a Saint Petersburg Metro station serving the Vyborgsky District in the northern part of the city.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9ea20b48190ace88bb46b01e6a9 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4729a9a9c81908d65ff0bda12c961 completed April 19, 2026, 6:13 a.m.
Created at: April 10, 2026, 10:05 a.m.