Triple

T9826760
Position Surface form Disambiguated ID Type / Status
Subject Bohemia E238675 entity
Predicate contains P35 FINISHED
Object Karlovy Vary E394624 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: Karlovy Vary | Statement: [Bohemia, contains, Karlovy Vary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karlovy Vary
Context triple: [Bohemia, contains, Karlovy Vary]
  • A. Karlovy Vary chosen
    Karlovy Vary is a renowned spa town in the western Czech Republic, famous for its hot springs, grand colonnades, and international film festival.
  • B. Bardejov
    Bardejov is a historic town in northeastern Slovakia renowned for its well-preserved medieval center and status as a UNESCO World Heritage Site.
  • C. Klatovy
    Klatovy is a historic town in the Czech Republic known for its well-preserved architecture, including Baroque churches and catacombs, and its role as a regional administrative center.
  • D. Liberec
    Liberec is a city in the northern Czech Republic known for its textile industry heritage, mountainous surroundings, and the landmark Ještěd Tower.
  • E. Praga
    Praga is a historic district on the eastern bank of the Vistula River in Warsaw, Poland, known for its older architecture, cultural life, and role in the city's wartime history.
  • 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_69ca84e0dd1881909800765d1e21f735 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb32370e8819087c85fb8328587be completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5bc17c08190ad094def4fbf9921 completed April 5, 2026, 3:23 a.m.
Created at: March 30, 2026, 8:32 p.m.