Triple

T16199796
Position Surface form Disambiguated ID Type / Status
Subject Prague commuter rail E393166 entity
Predicate mainHub P423 FINISHED
Object Praha hlavní nádraží E390328 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: Praha hlavní nádraží | Statement: [Prague commuter rail, mainHub, Praha hlavní nádraží]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Praha hlavní nádraží
Context triple: [Prague commuter rail, mainHub, Praha hlavní nádraží]
  • A. Prague Masarykovo nádraží
    Prague Masarykovo nádraží is one of Prague’s main railway stations, serving regional and commuter trains close to the city center.
  • B. Hlavní nádraží chosen
    Hlavní nádraží is a major central railway and metro station in Prague, serving as one of the city’s primary transportation hubs.
  • C. Hradec Králové hlavní nádraží
    Hradec Králové hlavní nádraží is the main railway station serving the city of Hradec Králové in the Czech Republic, functioning as a key regional transport hub.
  • D. Pardubice hlavní nádraží
    Pardubice hlavní nádraží is the main railway station in Pardubice, Czech Republic, serving as a key regional and intercity transport hub.
  • E. Nádraží Holešovice
    Nádraží Holešovice is a major Prague Metro station in the Holešovice district that serves as an important transport hub connecting the metro with suburban and long-distance trains.
  • 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e222de2db481908471b9c73d444607 completed April 17, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00078db04081909f7e14b09687ba67 completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 5:03 a.m.