Triple

T12318574
Position Surface form Disambiguated ID Type / Status
Subject Klatovy District E293668 entity
Predicate containsRiver P165 FINISHED
Object Úhlava E106750 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: Úhlava | Statement: [Klatovy District, containsRiver, Úhlava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Úhlava
Context triple: [Klatovy District, containsRiver, Úhlava]
  • A. Úhlava chosen
    Úhlava is a river in the Czech Republic that flows through the city of Plzeň and is one of the region’s notable waterways.
  • B. Úhlavka
    Úhlavka is a river in the Czech Republic that serves as a tributary of the Mže River.
  • C. Ostružná
    Ostružná is a river in the Czech Republic that serves as a tributary of the Úhlava River.
  • D. Blatná
    Blatná is a historic Czech town best known for its picturesque water castle and surrounding ponds in the South Bohemian countryside.
  • E. Uherka
    Uherka is a river in eastern Poland that serves as a tributary of the Western Bug, flowing through the Lublin region.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f4ab1b88190979a8403a430a17c completed April 10, 2026, 6:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e88a1348190a04c21b24e1ba2b5 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:53 p.m.