Triple

T22558008
Position Surface form Disambiguated ID Type / Status
Subject Poland and Germany E557737 entity
Predicate shareBorder P43209 FINISHED
Object Lusatian Neisse River 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: Lusatian Neisse River | Statement: [Poland and Germany, shareBorder, Lusatian Neisse River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lusatian Neisse River
Context triple: [Poland and Germany, shareBorder, Lusatian Neisse River]
  • A. Lusatian Neisse River chosen
    The Lusatian Neisse River is a Central European river that forms part of the border between Germany and Poland before joining the Oder River.
  • B. Örtze River
    The Örtze River is a river in Lower Saxony, Germany, known for flowing through the Lüneburg Heath before joining the Aller.
  • C. Chemnitz River
    The Chemnitz River is a waterway in the German state of Saxony that flows through and gives its name to the city of Chemnitz.
  • D. Zschopau River
    The Zschopau River is a tributary of the Freiberger Mulde in Saxony, Germany, flowing through the Ore Mountains and several towns before joining larger river systems.
  • E. Orlice River
    The Orlice River is a significant river in the Czech Republic that flows through eastern Bohemia and joins the Elbe near the city of Hradec Králové.
  • 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_69e11e59db848190b4272ecd2b690ffd completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f7b06e08190b3ca82a783965942 completed April 29, 2026, 1:31 a.m.
Created at: April 16, 2026, 8:52 p.m.