Triple

T16199790
Position Surface form Disambiguated ID Type / Status
Subject Prague commuter rail E393166 entity
Predicate connectsTo P845 FINISHED
Object Beroun E217732 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: Beroun | Statement: [Prague commuter rail, connectsTo, Beroun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beroun
Context triple: [Prague commuter rail, connectsTo, Beroun]
  • A. Beroun chosen
    Beroun is a historic town in the Czech Republic known for its medieval architecture, scenic location at the confluence of the Berounka and Litavka rivers, and proximity to the Bohemian Karst nature reserve.
  • B. Turov
    Turov is a historic town in present-day Belarus that was an important political and cultural center in the early medieval East Slavic lands.
  • C. Osek
    Osek is a town in the Czech Republic historically associated with the family origins of writer Franz Kafka’s father, Hermann Kafka.
  • D. Brdy
    Brdy is a forested mountain range in the Central Bohemian Region of the Czech Republic, known for its rolling hills, former military areas, and extensive hiking and cycling trails.
  • E. Český Brod
    Český Brod is a historic town in the Central Bohemian Region of the Czech Republic, known for its medieval architecture and role as a former royal town on important trade routes.
  • 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_6a00606a3d5c8190a145ca35ce458f7e completed May 10, 2026, 10:39 a.m.
Created at: April 10, 2026, 5:03 a.m.