Triple

T2803655
Position Surface form Disambiguated ID Type / Status
Subject Sorel E54001 entity
Predicate sellsIn P11351 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: [Sorel, sellsIn, Europe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Europe
Context triple: [Sorel, sellsIn, 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 one of Jupiter’s large icy moons, notable for its smooth frozen surface and the subsurface ocean that makes it a prime candidate in the search for extraterrestrial life.
  • 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_69ab49dcee188190b5c6eca9ae9e3469 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abe0895e5881909702e69aaee5c425 completed March 7, 2026, 8:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc63dfd4c819093599e6e1f55e9f8 completed March 10, 2026, 7:20 a.m.
Created at: March 6, 2026, 9:59 p.m.