Triple

T17851561
Position Surface form Disambiguated ID Type / Status
Subject Zittau E445817 entity
Predicate river P165 FINISHED
Object Lusatian Neisse (nearby) 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 (nearby) | Statement: [Zittau, river, Lusatian Neisse (nearby)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lusatian Neisse (nearby)
Context triple: [Zittau, river, Lusatian Neisse (nearby)]
  • A. Lusatian Neisse chosen
    The Lusatian Neisse is a river in Central Europe that flows through the Czech Republic, Germany, and Poland, forming part of the German–Polish border.
  • B. Neisse of Kłodzko
    Neisse of Kłodzko is a river in southwestern Poland that flows through the Kłodzko Valley and is a tributary of the Oder River.
  • C. Geringswalde
    Geringswalde is a small town in the Free State of Saxony in eastern Germany, known for its rural character and location within the Central Saxon region.
  • D. Bad Klosterlausnitz
    Bad Klosterlausnitz is a spa town in the German state of Thuringia, known for its therapeutic facilities and surrounding forested landscapes.
  • E. Bautzen
    Bautzen is a historic town in eastern Germany known for its well-preserved medieval architecture and as a cultural center of the Sorbian minority.
  • 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48fff6c288190a2b5e60b66c03ddc completed April 19, 2026, 8:19 a.m.
Created at: April 10, 2026, 10:17 a.m.