Triple

T22269567
Position Surface form Disambiguated ID Type / Status
Subject Karl Bartos E550438 entity
Predicate placeOfBirth P1 FINISHED
Object Berchtesgaden 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: Berchtesgaden | Statement: [Karl Bartos, placeOfBirth, Berchtesgaden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berchtesgaden
Context triple: [Karl Bartos, placeOfBirth, Berchtesgaden]
  • A. Berchtesgaden chosen
    Berchtesgaden is a picturesque alpine town in southeastern Bavaria, Germany, known for its dramatic mountain scenery, historical ties to the Nazi era, and proximity to the Eagle’s Nest and Berchtesgaden National Park.
  • B. Reichenhall
    Reichenhall is a Bavarian spa town in southeastern Germany, renowned for its salt springs and alpine setting.
  • C. Garmisch-Partenkirchen
    Garmisch-Partenkirchen is a renowned Bavarian alpine town in southern Germany, famous for skiing, winter sports, and its picturesque mountain scenery.
  • D. Mulchén
    Mulchén is a Chilean city located in the Biobío Region, known historically for its forestry-based economy and role in the country’s south-central development.
  • E. Freilassing
    Freilassing is a Bavarian town in southeastern Germany near the Austrian border, known as a key railway junction and gateway to the city of Salzburg.
  • 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_69e11e43d8208190aff4f9cf7f2c2a8a completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f141bf53a481909e2c79de4144f332 completed April 28, 2026, 11:24 p.m.
Created at: April 16, 2026, 8:40 p.m.