Triple

T18862351
Position Surface form Disambiguated ID Type / Status
Subject Landau in der Pfalz E461344 entity
Predicate river P165 FINISHED
Object Queich 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: Queich | Statement: [Landau in der Pfalz, river, Queich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Queich
Context triple: [Landau in der Pfalz, river, Queich]
  • A. Queich chosen
    The Queich is a river in southwestern Germany that flows from the Palatinate Forest through the Palatinate region before joining the Rhine.
  • B. Queckenberg
    Queckenberg is a small district within the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • C. Reißeck
    Reißeck is a municipality in the Austrian state of Carinthia, known for its Alpine landscape and proximity to the Reißeck mountain range and hydroelectric facilities.
  • D. Traun
    Traun is a town in the Austrian state of Upper Austria, located near Linz along the Traun River and known as a residential and industrial suburb of the regional capital.
  • E. Traun
    Traun is a river in southeastern Germany that flows through the Chiemgau region of Bavaria.
  • 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_69d8dcfb7b9c8190854e7b171b98ea2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c06184d88190bd05413a07a8c9ce completed April 20, 2026, 5:57 a.m.
Created at: April 10, 2026, 11:57 a.m.