Triple

T9408271
Position Surface form Disambiguated ID Type / Status
Subject Baden railway station E226640 entity
Predicate serves P98 FINISHED
Object town of Baden E44438 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: town of Baden | Statement: [Baden railway station, serves, town of Baden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: town of Baden
Context triple: [Baden railway station, serves, town of Baden]
  • A. Baden chosen
    Baden is a historic spa town in present-day Switzerland known for hosting the 1714 Treaty of Baden that helped conclude the War of the Spanish Succession.
  • B. Baden
    Baden was a historical state in southwestern Germany that existed as a grand duchy before being incorporated into the German Empire.
  • C. Blaubeuren
    Blaubeuren is a historic town in the Alb-Donau district of Baden-Württemberg, Germany, known for its medieval old town and the karst spring Blautopf.
  • D. Schönaich
    Schönaich is a municipality in the German state of Baden-Württemberg, known for its local community life and international town twinning partnerships.
  • E. Bretten
    Bretten is a historic town in the German state of Baden-Württemberg, known as the birthplace of the Protestant reformer Philip Melanchthon.
  • 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_69ca843280488190bc65600e843ef9e6 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd5252b3fc8190b0808a10987728c8 completed April 1, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107a0bc9c819089f7c422b4222f8e completed April 4, 2026, 12:44 p.m.
Created at: March 30, 2026, 7:47 p.m.