Triple

T13522607
Position Surface form Disambiguated ID Type / Status
Subject Konrad Henlein E322935 entity
Predicate placeOfDeath P21 FINISHED
Object Pilsen E106758 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: Pilsen | Statement: [Konrad Henlein, placeOfDeath, Pilsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pilsen
Context triple: [Konrad Henlein, placeOfDeath, Pilsen]
  • A. Pilsen chosen
    Pilsen is a city in the Czech Republic best known as the birthplace of Pilsner beer, a pale lager style that became one of the world’s most popular.
  • B. Pilsen
    Pilsen is a historically Mexican-American neighborhood on Chicago’s Lower West Side known for its vibrant murals, cultural institutions, and lively arts and food scene.
  • C. Pilsen Art District
    Pilsen Art District is a vibrant Chicago neighborhood hub known for its Mexican-American culture, colorful murals, galleries, and community arts events.
  • D. Orel
    Orel is a male given name most famously associated with former Major League Baseball pitcher Orel Hershiser.
  • E. Cleves
    Cleves is a historic town in western Germany near the Dutch border, known for its medieval castle and role as a former ducal capital in the Lower Rhine region.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafa535cc81908d0018fef81a2848 completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7549a215c8190a0b18c505d8ca504 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:44 p.m.