Triple

T20368711
Position Surface form Disambiguated ID Type / Status
Subject Sofia Central Station E496986 entity
Predicate hasConnectionWith P845 FINISHED
Object Sofia Metro 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: Sofia Metro | Statement: [Sofia Central Station, hasConnectionWith, Sofia Metro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sofia Metro
Context triple: [Sofia Central Station, hasConnectionWith, Sofia Metro]
  • A. Sofia Metro chosen
    Sofia Metro is the rapid transit system serving Bulgaria’s capital city, providing high-capacity urban rail transport across Sofia and its metropolitan area.
  • B. Sofia tram network
    The Sofia tram network is an extensive urban tramway system serving Bulgaria’s capital city, providing key public transportation links across Sofia.
  • C. Samara Metro
    Samara Metro is the rapid transit system serving the city of Samara, Russia, providing urban rail transportation across several key districts.
  • D. Sofia trolleybus network
    The Sofia trolleybus network is an electric public transport system in Bulgaria's capital, operating multiple trolleybus lines that connect key urban areas and residential districts across the city.
  • E. Bucharest Metro
    The Bucharest Metro is the rapid transit system serving Romania’s capital city, providing high-capacity urban rail transport across Bucharest.
  • 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_69e0b4a4f9b081908a5a021919c21ccb completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e678734b188190bb2c5863023f9f8c completed April 20, 2026, 7:03 p.m.
Created at: April 16, 2026, 11:26 a.m.