Triple

T14089864
Position Surface form Disambiguated ID Type / Status
Subject Úpa River E339098 entity
Predicate flowsThrough P225 FINISHED
Object Trutnov E257720 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: Trutnov | Statement: [Úpa River, flowsThrough, Trutnov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trutnov
Context triple: [Úpa River, flowsThrough, Trutnov]
  • A. Trutnov chosen
    Trutnov is a town in the Czech Republic known as a gateway to the eastern Krkonoše (Giant Mountains) region and for its historical center and industrial heritage.
  • B. Chrudim
    Chrudim is a historic town in the Pardubice Region of the Czech Republic, known for its well-preserved medieval center and cultural heritage.
  • C. Tišnov
    Tišnov is a small historic town in the South Moravian Region of the Czech Republic, located northwest of Brno.
  • D. Třebíč
    Třebíč is a historic town in the Vysočina Region of the Czech Republic, known for its well-preserved Jewish Quarter and Basilica of St. Procopius, both UNESCO World Heritage Sites.
  • E. Přerov
    Přerov is a city in the Olomouc Region of the Czech Republic, known as an important industrial and transport hub on the Bečva River.
  • 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5ee3213c8190af2853a2a5b302a2 completed April 14, 2026, 3:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5dc9b908190b1d7583810dc9c41 completed May 9, 2026, 7:44 a.m.
Created at: April 9, 2026, 10:21 p.m.