Triple

T19526247
Position Surface form Disambiguated ID Type / Status
Subject Swedish Africa Company E488524 entity
Predicate hasTradingPost P75307 FINISHED
Object Osu NE NERFINISHED

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: Osu | Statement: [Swedish Africa Company, hasTradingPost, Osu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Osu
Context triple: [Swedish Africa Company, hasTradingPost, Osu]
  • A. Osu chosen
    Osu are a distinct social subgroup within the Ga people of Ghana, traditionally associated with specific hereditary roles, settlements, and cultural practices in the Greater Accra region.
  • B. Beat Saber
    Beat Saber is a popular virtual reality rhythm game where players slash color-coded blocks to the beat of music using motion-tracked controllers.
  • C. Uno Line
    Uno Line is a regional railway line in Japan connecting Okayama with the port town of Uno in Okayama Prefecture.
  • D. Taito
    Taito is the pseudonym of Tetsuzō, under which he is known for his creative and professional work.
  • E. Trackmania
    Trackmania is a fast-paced arcade racing video game series known for its time-trial focused gameplay, gravity-defying tracks, and extensive user-generated content.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6363aeb8c8190be2bdd73e421af96 completed April 20, 2026, 2:20 p.m.
Created at: April 10, 2026, 1:41 p.m.