Triple

T16199708
Position Surface form Disambiguated ID Type / Status
Subject Line B (Prague Metro) E393164 entity
Predicate servesStation P839 FINISHED
Object Černý Most E390330 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: Černý Most | Statement: [Line B (Prague Metro), servesStation, Černý Most]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Černý Most
Context triple: [Line B (Prague Metro), servesStation, Černý Most]
  • A. Černý Most chosen
    Černý Most is a terminal station on Prague Metro’s Line B serving the large housing estate and commercial area of the same name in northeastern Prague.
  • B. Zidani Most
    Zidani Most is a small Slovenian settlement and important railway junction situated at the confluence of the Sava and Savinja rivers.
  • C. Mariánský most
    Mariánský most is a distinctive modern cable-stayed road bridge spanning the Elbe River in Ústí nad Labem in the Czech Republic.
  • D. Grunwald Bridge
    Grunwald Bridge is a historic suspension bridge in Wrocław, Poland, known for its distinctive steel structure and role as a key crossing over the Oder River.
  • E. Tyrš Bridge
    Tyrš Bridge is a notable road and pedestrian bridge spanning the Elbe River in the Czech city of Děčín.
  • 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_6a000ecf454081909660f4ab9c556ddc completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:03 a.m.