Triple

T16212139
Position Surface form Disambiguated ID Type / Status
Subject Sac language E393489 entity
Predicate hasAlternativeName P39 FINISHED
Object Thâkiwaki E391669 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: Thâkiwaki | Statement: [Sac language, hasAlternativeName, Thâkiwaki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thâkiwaki
Context triple: [Sac language, hasAlternativeName, Thâkiwaki]
  • A. Thâkîwaki chosen
    Thâkîwaki is the endonym used by the Sauk people to refer to themselves and their language.
  • B. Takamikura
    Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
  • C. Takabisha
    Takabisha is a record-breaking steel roller coaster in Japan renowned for its extremely steep drop and intense thrill elements.
  • D. Wazanaki
    Wazanaki are the Zanaki people of Tanzania, a Bantu-speaking ethnic group traditionally living near Lake Victoria.
  • E. Kōtaishi
    Kōtaishi is the formal Japanese title used to designate the heir apparent to the Chrysanthemum Throne.
  • 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e227f1bef8819094e724f5cd0b86d5 completed April 17, 2026, 12:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a002d9c35248190a5540a692503c989 completed May 10, 2026, 7:02 a.m.
Created at: April 10, 2026, 5:03 a.m.