Triple

T2544253
Position Surface form Disambiguated ID Type / Status
Subject Olaf E57859 entity
Predicate hasCognate P2525 FINISHED
Object Olav E123829 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: Olav | Statement: [Olaf, hasCognate, Olav]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olav
Context triple: [Olaf, hasCognate, Olav]
  • A. Håkon
    Håkon is one of the official mascots of the 1994 Winter Olympics held in Lillehammer, Norway, depicted as a Norwegian child symbolizing the country’s heritage and Olympic spirit.
  • B. Haakon
    Haakon is a Scandinavian male given name of Old Norse origin, traditionally borne by Norwegian kings and other notable figures.
  • C. Haakon Magnus
    Haakon Magnus is the Crown Prince of Norway and heir apparent to the Norwegian throne.
  • D. Olaf II of Norway chosen
    Olaf II of Norway, also known as Saint Olaf, was an early 11th-century king whose efforts to consolidate Christianity in Norway made him a national patron saint and a central figure in the country's medieval history.
  • E. Harald
    Harald is a common Scandinavian male given name, historically borne by several notable kings and figures in Norse and European history.
  • 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_69ab4a5212d88190b989ce129f2ad87f completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd2c10ce88190b242ab3d41878fda completed March 7, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69af839ead648190a8781299da30969b completed March 10, 2026, 2:36 a.m.
Created at: March 6, 2026, 9:47 p.m.