Triple

T21394348
Position Surface form Disambiguated ID Type / Status
Subject Česká Lípa E527740 entity
Predicate locatedOnRiver P165 FINISHED
Object Ploučnice 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: Ploučnice | Statement: [Česká Lípa, locatedOnRiver, Ploučnice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ploučnice
Context triple: [Česká Lípa, locatedOnRiver, Ploučnice]
  • A. Ploučnice chosen
    Ploučnice is a river in the northern Czech Republic that flows through the Ústí nad Labem Region before joining the Elbe.
  • B. Plachy
    Plachy is the surname of Sylvia Plachy, a renowned Hungarian-American photographer known for her distinctive and poetic documentary images.
  • C. Plesná
    Plesná is a small town in the Karlovy Vary Region of the Czech Republic, near the German border, known for its rural character and surrounding forests.
  • D. Polednice
    Polednice is a Czech term meaning "The Noon Witch," referring to a folkloric female spirit who appears at midday to threaten misbehaving children.
  • E. Pálava
    Pálava is a renowned wine-producing region in the Czech Republic, noted for its limestone hills and high-quality white wines, especially aromatic varieties.
  • 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_69e0b51ff3748190935c0a513c62a12b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee62cd30f08190aba90afed6116a2a completed April 26, 2026, 7:09 p.m.
Created at: April 16, 2026, 5:13 p.m.