Triple

T10667463
Position Surface form Disambiguated ID Type / Status
Subject Rueil-Malmaison E251392 entity
Predicate hasTwinTown P919 FINISHED
Object Bad Soden am Taunus E221174 NE FINISHED

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: Bad Soden am Taunus | Statement: [Rueil-Malmaison, hasTwinTown, Bad Soden am Taunus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bad Soden am Taunus
Context triple: [Rueil-Malmaison, hasTwinTown, Bad Soden am Taunus]
  • A. Bad Soden am Taunus chosen
    Bad Soden am Taunus is a spa town in Hesse, Germany, known for its mineral springs and location on the slopes of the Taunus mountains near Frankfurt.
  • B. Hofheim am Taunus
    Hofheim am Taunus is a town in the German state of Hesse, located near Frankfurt within the Taunus mountain region.
  • C. Schwalbach am Taunus
    Schwalbach am Taunus is a small town in the Main-Taunus district of Hesse, Germany, located near Frankfurt and known for its residential character and proximity to the Taunus hills.
  • D. Benneckenstein
    Benneckenstein is a small town in central Germany located in the Harz mountain region, known for its scenic landscapes and outdoor recreation.
  • E. Weikersheim
    Weikersheim is a small historic town in the Tauber Valley of Baden-Württemberg, Germany, known for its Renaissance castle and well-preserved old town.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6f3204bac8190b9bd8bfcc705b06b completed April 9, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69d998b77db08190bce5a7ce24dbc085 completed April 11, 2026, 12:41 a.m.
Created at: April 8, 2026, 9:08 p.m.