Triple

T12799444
Position Surface form Disambiguated ID Type / Status
Subject Ralf E305974 entity
Predicate usedIn P98 FINISHED
Object Norway E2896 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: Norway | Statement: [Ralf, usedIn, Norway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norway
Context triple: [Ralf, usedIn, Norway]
  • A. Norway chosen
    Norway is a Nordic country in Northern Europe known for its high standard of living, extensive welfare state, and dramatic natural landscapes of fjords, mountains, and coastline.
  • B. Sweden–Norway
    Sweden–Norway was a 19th-century political union between the kingdoms of Sweden and Norway under a common monarch, lasting from 1814 to 1905.
  • C. Denmark
    Denmark is a Nordic country in Northern Europe known for its high standard of living, strong welfare state, and role as a founding member of NATO and the United Nations.
  • D. Denmark–Norway
    Denmark–Norway was an early modern dual monarchy uniting the kingdoms of Denmark and Norway (including their overseas territories) under a single crown from the 16th to the early 19th century.
  • E. Sweden and Denmark
    Sweden and Denmark are neighboring Scandinavian countries in Northern Europe, separated by the Øresund Strait and closely linked through extensive cultural, economic, and transport connections.
  • 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_69d7bdf366888190a8cccb982606889c completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e6f858c8190915ede38e9a6a2df completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684d672808190b72a923e285a91bb completed May 2, 2026, 11:12 p.m.
Created at: April 9, 2026, 5:30 p.m.