Triple

T3737319
Position Surface form Disambiguated ID Type / Status
Subject DVB-S2 E79615 entity
Predicate typicalUseRegion P15483 FINISHED
Object Europe E833 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: Europe | Statement: [DVB-S2, typicalUseRegion, Europe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Europe
Context triple: [DVB-S2, typicalUseRegion, Europe]
  • A. Europe chosen
    Europe is a diverse continent in the Northern Hemisphere known for its rich history, cultural heritage, and significant influence on global politics, economics, and science.
  • B. Continental Europe
    Continental Europe is the mainland portion of the European continent, excluding its surrounding islands such as Great Britain and Ireland.
  • C. Western Europe
    Western Europe is the region of European countries that, after World War II, became closely integrated with the United States and each other through economic recovery, political cooperation, and shared democratic institutions.
  • D. Europa
    Europa is a figure in Greek mythology, a Phoenician princess famously abducted by Zeus and later the eponymous queen of Crete.
  • E. Europa
    Europa is a European-themed section of the Worlds of Fun amusement park in Kansas City, Missouri, featuring attractions, architecture, and cuisine inspired by various European countries.
  • 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_69ad8b115610819095b02007da5ca3cb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb3d32b081909a993a78b0869db8 completed March 8, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db041370819084b04e46d95ca966 completed March 14, 2026, 3:50 a.m.
Created at: March 8, 2026, 3:34 p.m.