Triple

T22277751
Position Surface form Disambiguated ID Type / Status
Subject Tichá Orlice E550649 entity
Predicate nearbyTown P3883 FINISHED
Object Česká Třebová 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: Česká Třebová | Statement: [Tichá Orlice, nearbyTown, Česká Třebová]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Česká Třebová
Context triple: [Tichá Orlice, nearbyTown, Česká Třebová]
  • A. Česká Třebová chosen
    Česká Třebová is a town in the Pardubice Region of the Czech Republic known as a local railway hub and industrial center in the Svitavy Uplands.
  • B. Klinovec
    Klinovec is a prominent mountain in the Czech Republic, known as the highest peak of the Ore Mountains and a popular destination for skiing and outdoor recreation.
  • C. Taibach
    Taibach is a residential area and community within the county borough of Neath Port Talbot in South Wales, historically associated with the steel industry and the town of Port Talbot.
  • D. Třebeň
    Třebeň is a small municipality and village in the Karlovy Vary Region of the Czech Republic.
  • E. Kavečany
    Kavečany is a borough of Košice in eastern Slovakia, known for its hilly landscape, recreational areas, and proximity to major attractions like the Košice Zoo and ski facilities.
  • 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_69e11e44d538819097c6b8f333af3352 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f14ea96948819081c1ae6c7b11ab62 completed April 29, 2026, 12:19 a.m.
Created at: April 16, 2026, 8:40 p.m.