Triple

T19532371
Position Surface form Disambiguated ID Type / Status
Subject Elisabeth Schwarzkopf E488686 entity
Predicate placeOfBirth P1 FINISHED
Object Jarotschin 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: Jarotschin | Statement: [Elisabeth Schwarzkopf, placeOfBirth, Jarotschin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jarotschin
Context triple: [Elisabeth Schwarzkopf, placeOfBirth, Jarotschin]
  • A. Jauer
    Jauer is a variety of the Romansh language spoken in parts of the Engadine valley in Switzerland, closely related to the Puter dialect.
  • B. Jarocin chosen
    Jarocin is a town in west-central Poland known historically for its role in the Greater Poland region and, in modern times, for hosting one of the country’s most famous rock music festivals.
  • C. Jumgal
    Jumgal is a small town in Kyrgyzstan’s mountainous Naryn Region, serving as a local center for the surrounding rural district.
  • D. Jabonga
    Jabonga is a coastal municipality in the province of Agusan del Norte in the Caraga region of Mindanao, Philippines.
  • E. Krakhuna
    Krakhuna is a Georgian white grape variety from the Imereti region, known for producing aromatic, full-bodied wines with pronounced acidity.
  • 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6364091f4819088b27d0ffdf6010d completed April 20, 2026, 2:20 p.m.
Created at: April 10, 2026, 1:41 p.m.