Triple

T19420864
Position Surface form Disambiguated ID Type / Status
Subject Kinzig Valley Railway corridor E485848 entity
Predicate locatedIn P40 FINISHED
Object Kinzig Valley 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: Kinzig Valley | Statement: [Kinzig Valley Railway corridor, locatedIn, Kinzig Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kinzig Valley
Context triple: [Kinzig Valley Railway corridor, locatedIn, Kinzig Valley]
  • A. Kinzig chosen
    The Kinzig is a river in southwestern Germany that flows through the Black Forest region before joining the Rhine.
  • B. Wuhle Valley
    Wuhle Valley is a river valley in Berlin, Germany, shaped by and named after the Wuhle River.
  • C. Ach Valley
    Ach Valley is a scenic valley in the Swabian Jura of southern Germany, known for its karst landscapes, caves, and archaeological significance.
  • D. Lauter River
    The Lauter River is a small river in northeastern France and southwestern Germany that flows through the town of Wissembourg before joining the Rhine.
  • E. Neiße valley
    The Neiße valley is a scenic river valley along the Lusatian Neisse on the German-Polish border, known for its natural landscapes and historic towns such as Görlitz.
  • 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63214d768819082129100d7116521 completed April 20, 2026, 2:03 p.m.
Created at: April 10, 2026, 1:37 p.m.