Triple

T15738445
Position Surface form Disambiguated ID Type / Status
Subject The Circle of the World E381536 entity
Predicate depicts P1581 FINISHED
Object Viking Age Norway E15011 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: Viking Age Norway | Statement: [The Circle of the World, depicts, Viking Age Norway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viking Age Norway
Context triple: [The Circle of the World, depicts, Viking Age Norway]
  • A. Viking Age chosen
    The Viking Age was a period from the late 8th to the 11th century marked by Scandinavian seafaring expansion, raids, trade, and settlement across wide areas of Europe and beyond.
  • B. Viking
    Viking is a Norwegian professional football club based in Stavanger, known for competing in the country’s top division and having a rich domestic history.
  • C. Viking
    "Viking" is a Russian historical epic film depicting the rise of Prince Vladimir and the Christianization of Kievan Rus.
  • D. Viking
    Viking is a prominent American publishing imprint known for releasing influential fiction and nonfiction titles, including many literary classics and bestsellers.
  • E. Viking
    Viking is a tire brand owned by Continental AG, known for producing reliable and affordable tires for passenger cars and light commercial vehicles.
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fd6eb888190b7a9b07b76e62c0d completed April 16, 2026, 2:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff830336248190a8bbd8153dd95daa completed May 9, 2026, 6:54 p.m.
Created at: April 10, 2026, 4:46 a.m.