Triple

T6128337
Position Surface form Disambiguated ID Type / Status
Subject Government of Denmark E136647 entity
Predicate cooperatesWith P435 FINISHED
Object Folketing E33162 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: Folketing | Statement: [Government of Denmark, cooperatesWith, Folketing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Folketing
Context triple: [Government of Denmark, cooperatesWith, Folketing]
  • A. Folketing chosen
    The Folketing is the unicameral national parliament of Denmark, responsible for passing laws, approving the budget, and overseeing the government.
  • B. Folktinget
    Folktinget is the representative body for the Swedish-speaking minority in Finland, working to promote their linguistic and cultural rights.
  • C. Riksdag
    The Riksdag is Sweden’s unicameral national parliament, responsible for making laws, deciding on the budget, and overseeing the government.
  • D. Parliament of Norway
    The Parliament of Norway is the country’s supreme legislative body, responsible for making national laws, overseeing the government, and appointing the committee that awards the Nobel Peace Prize.
  • E. Parlament
    Parlament is the commonly used short name for the Austrian Parliament, the federal legislative body of Austria.
  • 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_69c008a0a37c81908e5b4f879158afb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05c4b1df081908dc87fa1c45a43bf completed March 22, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c135c44f008190bdef195511fe1111 completed March 23, 2026, 12:44 p.m.
Created at: March 22, 2026, 4:15 p.m.