Triple

T21808839
Position Surface form Disambiguated ID Type / Status
Subject Klonk E538418 entity
Predicate locatedNear P294 FINISHED
Object Beroun 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: Beroun | Statement: [Klonk, locatedNear, Beroun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beroun
Context triple: [Klonk, locatedNear, 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 (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_69e0c473f0f8819086c9d1b4a143bd67 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f07cc4809c8190853e2777a1f573d4 completed April 28, 2026, 9:24 a.m.
Created at: April 16, 2026, 6:53 p.m.