Triple

T883846
Position Surface form Disambiguated ID Type / Status
Subject Kaw Nation E19085 entity
Predicate hasAlternativeName P39 FINISHED
Object Kanza E98539 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: Kanza | Statement: [Kaw Nation, hasAlternativeName, Kanza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kanza
Context triple: [Kaw Nation, hasAlternativeName, Kanza]
  • A. Negaraku
    Negaraku is the national anthem of Malaysia, symbolizing the country's sovereignty and unity.
  • B. Kąⁿza chosen
    Kąⁿza is the self-designated name (autonym) of the Kaw people, a Native American tribe of the central United States historically associated with present-day Kansas and Oklahoma.
  • C. Daza
    The Daza are an ethnic group of the central Sahara, primarily in Chad, known for their nomadic pastoralist lifestyle and close cultural and linguistic ties to the Toubou (Tebu) peoples.
  • D. Rusutsu
    Rusutsu is a major ski and resort area in Japan known for its extensive, high-quality powder snow terrain and year-round outdoor activities.
  • E. Kioni
    Kioni is a picturesque seaside village on the Greek island of Ithaca, known for its traditional architecture and scenic harbor.
  • 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_69a4939c32488190a7ccd41cf0abb22b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ace495348190aec66f35ea90bc89 completed March 1, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3b9b7eb88190b7fa4f9dbcc73d64 completed March 7, 2026, 2:52 p.m.
Created at: March 1, 2026, 7:39 p.m.