Triple

T20029562
Position Surface form Disambiguated ID Type / Status
Subject Bergstraße wine-growing area E495083 entity
Predicate hasTown P847 FINISHED
Object Zwingenberg 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: Zwingenberg | Statement: [Bergstraße wine-growing area, hasTown, Zwingenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zwingenberg
Context triple: [Bergstraße wine-growing area, hasTown, Zwingenberg]
  • A. Zwingenberg chosen
    Zwingenberg is a historic small town in the German state of Hesse, known as the oldest town on the Bergstraße scenic route with picturesque half-timbered houses and a medieval old town.
  • B. Grötzingen
    Grötzingen is a district of Karlsruhe in the German state of Baden-Württemberg, known for its historic village character and location in the Pfinz river valley.
  • C. Bötzingen
    Bötzingen is a municipality in southwestern Germany’s Baden-Württemberg region, situated near Freiburg in the Breisgau wine-growing area.
  • D. Gechingen
    Gechingen is a small municipality in the German state of Baden-Württemberg, situated in the northern Black Forest region.
  • E. Neuenbürg
    Neuenbürg is a small historic town in the northern Black Forest region of Baden-Württemberg, Germany, known for its medieval castle and scenic river valley setting.
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e662908df081909a6c8ccf0dd90fff completed April 20, 2026, 5:29 p.m.
Created at: April 11, 2026, 3:36 p.m.