Triple

T4370980
Position Surface form Disambiguated ID Type / Status
Subject Wilhelm Furtwängler E98894 entity
Predicate placeOfDeath P21 FINISHED
Object Baden-Baden E125510 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: Baden-Baden | Statement: [Wilhelm Furtwängler, placeOfDeath, Baden-Baden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baden-Baden
Context triple: [Wilhelm Furtwängler, placeOfDeath, Baden-Baden]
  • A. Baden-Baden chosen
    Baden-Baden is a historic spa town in southwestern Germany, renowned for its thermal baths, casino, and status as a 19th-century European resort destination.
  • B. Weil am Rhein
    Weil am Rhein is a German town in the state of Baden-Württemberg, located at the tripoint border with France and Switzerland near Basel.
  • C. Karlsruhe
    Karlsruhe is a major city in southwestern Germany best known as the seat of the country’s highest courts and a central hub of German constitutional jurisprudence.
  • D. Homburg
    Homburg is a town in southwestern Germany known as an administrative and economic center within the state of Saarland.
  • E. Freiburg im Breisgau
    Freiburg im Breisgau is a historic university city in southwest Germany known for its medieval old town, eco-friendly urban planning, and location at the edge of the Black Forest.
  • 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_69b3454db3708190aeafd814413c4c3d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3521cb7ec8190b7b79675871d97d8 completed March 12, 2026, 11:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e50bcc9481909b0b9d60198dce63 completed March 14, 2026, 10:45 p.m.
Created at: March 12, 2026, 11:17 p.m.