Triple

T23306823
Position Surface form Disambiguated ID Type / Status
Subject Bečva River E590467 entity
Predicate flowsThrough P225 FINISHED
Object Hranice 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: Hranice | Statement: [Bečva River, flowsThrough, Hranice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hranice
Context triple: [Bečva River, flowsThrough, Hranice]
  • A. Hranice chosen
    Hranice is a town in the Czech Republic located near the Oder Mountains, known for its historical architecture and proximity to natural landscapes.
  • B. Grenz
    Grenz is a surname most notably associated with Stanley Grenz, a prominent late 20th-century evangelical theologian and author.
  • C. Grens
    Grens is a small municipality in the canton of Vaud in western Switzerland, situated within the Nyon District near Lake Geneva.
  • D. Czech Republic–Austria border
    The Czech Republic–Austria border is an international boundary in Central Europe that runs through regions such as the Bohemian Forest, separating the Czech Republic from Austria.
  • E. Bohemia–Moravia border area
    The Bohemia–Moravia border area is a historical frontier region in the Czech Republic where the traditional lands of Bohemia and Moravia meet, marked by a mix of cultural and geographical characteristics from both regions.
  • 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_69e25d1c0ecc8190a355aa229f06d0e0 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1972846fc819092ca2b9590b2e177 completed April 29, 2026, 5:29 a.m.
Created at: April 17, 2026, 5:05 p.m.