Triple

T16684133
Position Surface form Disambiguated ID Type / Status
Subject Ohře Valley E405414 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: [Ohře Valley, contains, Karlovy Vary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karlovy Vary
Context triple: [Ohře Valley, 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. Karlsbad
    Karlsbad is the German name for Karlovy Vary, a renowned spa town in the Czech Republic famous for its hot springs and historic architecture.
  • E. Liberec
    Liberec is a city in the northern Czech Republic known for its textile industry heritage, mountainous surroundings, and the landmark Ještěd Tower.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37d71a66881908c8d06cc074fdf29 completed April 18, 2026, 12:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a422f8c8190873fd7089df8fbd4 completed May 10, 2026, 1:38 p.m.
Created at: April 10, 2026, 5:19 a.m.