Triple

T5525004
Position Surface form Disambiguated ID Type / Status
Subject EGGW E144900 entity
Predicate regionCode P208 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: [EGGW, regionCode, Europe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Europe
Context triple: [EGGW, regionCode, 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_69c008f873a481909b4d9f7e2db3c37d completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f874bd081909cccfc25767ee6fa completed March 22, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0279253c88190ae70e2f4f1fb3e7d completed March 22, 2026, 5:32 p.m.
Created at: March 22, 2026, 3:34 p.m.