Triple

T17493545
Position Surface form Disambiguated ID Type / Status
Subject Weschnitz E425989 entity
Predicate flowsThrough P225 FINISHED
Object Odenwaldkreis 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: Odenwaldkreis | Statement: [Weschnitz, flowsThrough, Odenwaldkreis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Odenwaldkreis
Context triple: [Weschnitz, flowsThrough, Odenwaldkreis]
  • A. Odenwaldkreis chosen
    Odenwaldkreis is a rural district in the state of Hesse, Germany, known for its forested low mountain landscapes and small historic towns.
  • B. Rheingau-Taunus-Kreis
    Rheingau-Taunus-Kreis is a rural district in the German state of Hesse, known for its wine-growing Rheingau region and its location along the Taunus mountains.
  • C. Neckar-Odenwald-Kreis
    Neckar-Odenwald-Kreis is a rural district in the German state of Baden-Württemberg, known for its forested landscapes, historic towns, and location along the Neckar River.
  • D. Westerwaldkreis
    Westerwaldkreis is a rural district in the German state of Rhineland-Palatinate, known for its forested low mountain landscape and traditional ceramics industry.
  • E. Rhein-Pfalz-Kreis
    Rhein-Pfalz-Kreis is a rural district in the German state of Rhineland-Palatinate, surrounding but not including the city of Ludwigshafen am Rhein.
  • 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_69d889dccf7481909264a1844a2e9100 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451d782688190afb76fa080867315 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:48 a.m.