Triple

T20046704
Position Surface form Disambiguated ID Type / Status
Subject Groß-Gerau district E497576 entity
Predicate contains P35 FINISHED
Object Büttelborn 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: Büttelborn | Statement: [Groß-Gerau district, contains, Büttelborn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Büttelborn
Context triple: [Groß-Gerau district, contains, Büttelborn]
  • A. Büttelborn chosen
    Büttelborn is a municipality in the Groß-Gerau district of Hesse, Germany, situated in the Rhine-Main region near the city of Darmstadt.
  • B. Bützberg
    Bützberg is a village in the canton of Bern, Switzerland, situated within the Oberaargau region.
  • C. Hemsbach
    Hemsbach is a small town in southwestern Germany, located in the Rhine-Neckar region of Baden-Württemberg.
  • D. Wernborn
    Wernborn is a village and district of the town of Usingen in the Hochtaunus region of Hesse, Germany.
  • E. Rheydt
    Rheydt is a district of the German city of Mönchengladbach in North Rhine-Westphalia, historically an independent town in the Rhineland.
  • 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6632b2de48190abe2b277d89eb695 completed April 20, 2026, 5:32 p.m.
Created at: April 11, 2026, 3:37 p.m.