Triple

T5066815
Position Surface form Disambiguated ID Type / Status
Subject Assemblée fédérale E114163 entity
Predicate hasPart P35 FINISHED
Object Nationalrat E162342 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: Nationalrat | Statement: [Assemblée fédérale, hasPart, Nationalrat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nationalrat
Context triple: [Assemblée fédérale, hasPart, Nationalrat]
  • A. Conseil national chosen
    Conseil national is the French name for Switzerland’s National Council, the lower house of the Federal Assembly and one of the country’s two federal legislative chambers.
  • B. Conseil National
    Conseil National is the unicameral legislative body of the Principality of Monaco, responsible for passing laws and overseeing government policy.
  • C. National Diet
    The National Diet is Japan’s bicameral national legislature, consisting of the House of Representatives and the House of Councillors, responsible for making laws and overseeing the government.
  • D. Nationale
    Nationale is a French national-level rugby union competition that forms part of the country’s professional and semi-professional league structure.
  • E. Nationale
    Nationale is a Paris Métro station in the 13th arrondissement, located on Line 6 near Place d’Italie.
  • 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_69bd443c0c8c81908663b77afb28e165 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd749bf69c819093e75dce56f1c0ab completed March 20, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb10778208190a5c6a9457c085491 completed March 21, 2026, 2:53 p.m.
Created at: March 20, 2026, 1:38 p.m.