Triple

T18311276
Position Surface form Disambiguated ID Type / Status
Subject Odenwaldkreis E438629 entity
Predicate hasRiver P165 FINISHED
Object Mümling 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: Mümling | Statement: [Odenwaldkreis, hasRiver, Mümling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mümling
Context triple: [Odenwaldkreis, hasRiver, Mümling]
  • A. Mümling chosen
    The Mümling is a river in the Odenwald region of Germany that flows through Hesse and Bavaria before joining the Main.
  • B. Mülchi
    Mülchi was a former small municipality in the canton of Bern, Switzerland, that has since been incorporated into the larger municipality of Fraubrunnen.
  • C. Mürwik
    Mürwik is a district of Flensburg in northern Germany, best known for hosting the last seat of the German government at the end of World War II and for its prominent naval academy.
  • D. Mollerussa
    Mollerussa is a small town in the province of Lleida, Catalonia, Spain, known for its agricultural surroundings and regional commercial services.
  • E. Bulu
    The Bulu are a Bantu-speaking ethnic group of central Cameroon known for their rich cultural traditions and historical role in regional trade and politics.
  • 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50219cd548190b8da5f402d5da773 completed April 19, 2026, 4:26 p.m.
Created at: April 10, 2026, 10:36 a.m.