Triple

T16972857
Position Surface form Disambiguated ID Type / Status
Subject Svatava E411729 entity
Predicate flowsInto P408 FINISHED
Object Ohře in Sokolov E91943 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: Ohře in Sokolov | Statement: [Svatava, flowsInto, Ohře in Sokolov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ohře in Sokolov
Context triple: [Svatava, flowsInto, Ohře in Sokolov]
  • A. Ohře chosen
    The Ohře is a river in Central Europe that flows through Germany and the Czech Republic before joining the Elbe.
  • B. Roztoky u Křivoklátu
    Roztoky u Křivoklátu is a small village in the Central Bohemian Region of the Czech Republic, situated in a scenic valley near the Berounka River and the historic Křivoklát Castle.
  • C. Loučka
    Loučka is a river in the Czech Republic that serves as a left-bank tributary of the Svratka River.
  • D. Stodůlky
    Stodůlky is a district in the western part of Prague, Czech Republic, known for its large residential estates and modern commercial developments.
  • E. Roháčske plesá
    Roháčske plesá is a picturesque group of mountain lakes in the Western Tatras of Slovakia, popular for hiking and alpine scenery.
  • 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d0ae47f08190a13e98d20aba7f16 completed April 18, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d4738fbc819099e8281ebc777091 completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:31 a.m.