Triple

T9472544
Position Surface form Disambiguated ID Type / Status
Subject Air Crew Europe Star E228426 entity
Predicate clasp P16983 FINISHED
Object France and Germany E382273 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: France and Germany | Statement: [Air Crew Europe Star, clasp, France and Germany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: France and Germany
Context triple: [Air Crew Europe Star, clasp, France and Germany]
  • A. France and Germany chosen
    France and Germany are two major neighboring European countries that share deep historical ties, a central role in the European Union, and a long land border.
  • B. France and Bavaria
    France and Bavaria were allied powers in the War of the Spanish Succession, notably fighting together against the Grand Alliance at the Battle of Blenheim in 1704.
  • C. Belgium and France
    Belgium and France are neighboring Western European countries that share a long land border, close cultural and historical ties, and membership in the European Union and Schengen Area.
  • D. France and Switzerland
    France and Switzerland are neighboring European countries that share part of the western Alpine region and have strong historical, cultural, and economic ties.
  • E. Germany and Belgium
    Germany and Belgium are neighboring Western European countries whose mutual border was internationally guaranteed in the interwar period as part of efforts to stabilize post–World War I Europe.
  • 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_69ca847162c48190b079076c9595513c completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7ff0afd08190871b68a88fdbff2b completed April 1, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12ceb52088190a03963a762c7d30d completed April 4, 2026, 3:23 p.m.
Created at: March 30, 2026, 7:54 p.m.