Triple

T5845057
Position Surface form Disambiguated ID Type / Status
Subject Orlice E129687 entity
Predicate confluenceOf P2416 FINISHED
Object Divoká Orlice E550650 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: Divoká Orlice | Statement: [Orlice, confluenceOf, Divoká Orlice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Divoká Orlice
Context triple: [Orlice, confluenceOf, Divoká Orlice]
  • A. Divoká Orlice chosen
    Divoká Orlice is a wild mountain river in the Czech Republic and Poland, known for its scenic valley, natural landscapes, and popularity among paddlers and hikers.
  • B. Tichá Orlice
    Tichá Orlice is a river in the Czech Republic that forms one of the two main headwaters of the Orlice River, flowing through the Pardubice Region.
  • C. The Woods
    The Woods is a residential neighborhood within the planned community of Burke Centre in Fairfax County, Virginia.
  • D. The Ravine
    The Ravine is a secluded, woodland gorge in Central Park featuring winding paths, a stream, and rustic bridges that evoke a natural forest landscape.
  • E. Wildwood
    Wildwood is a popular seaside resort city on the Jersey Shore known for its expansive beaches, lively boardwalk, and classic Doo Wop–style motels.
  • 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_69c0084bd31c8190a796bb6284845e83 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c034dcafe88190a438034a539ffa52 completed March 22, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b0fb0f68819091018926ee4c7bb8 completed March 23, 2026, 3:18 a.m.
Created at: March 22, 2026, 3:55 p.m.