Triple

T13659075
Position Surface form Disambiguated ID Type / Status
Subject Baruten E326937 entity
Predicate hasSettlement P1068 FINISHED
Object Kosubosu E1055791 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: Kosubosu | Statement: [Baruten, hasSettlement, Kosubosu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kosubosu
Context triple: [Baruten, hasSettlement, Kosubosu]
  • A. Kosubosu chosen
    Kosubosu is a town in Nigeria that serves as the administrative center of Baruten Local Government Area in Kwara State.
  • B. Kibushi
    Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
  • C. Ushishiru
    Ushishiru is the Japanese name for Ushishir, a volcanic island in Russia’s Kuril Islands chain known for its caldera and geothermal activity.
  • D. Ōnamuchi
    Ōnamuchi is another name for Ōkuninushi, a major Shinto deity associated with nation-building, medicine, and good fortune in Japanese mythology.
  • E. Ebisucho
    Ebisucho is a commercial and entertainment district in Osaka’s Naniwa Ward, known for its proximity to Den Den Town and its mix of electronics shops, eateries, and local businesses.
  • 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc61f0d808190b1cd2a6ba0d930eb completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d46c48c81908d64f1a32cf08c5b completed May 3, 2026, 7:08 p.m.
Created at: April 9, 2026, 9:52 p.m.