Triple

T16867446
Position Surface form Disambiguated ID Type / Status
Subject Kaw language E410078 entity
Predicate glottologName P6521 FINISHED
Object Kansa E110300 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: Kansa | Statement: [Kaw language, glottologName, Kansa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kansa
Context triple: [Kaw language, glottologName, Kansa]
  • A. Kansa chosen
    Kansa is another name for the Kaw Nation, a Native American tribe originally from the central Midwestern region of the United States, particularly present-day Kansas.
  • B. Wikana
    Wikana was an Indonesian nationalist and youth leader who played a key role in pressuring Sukarno and Hatta to proclaim Indonesia’s independence during the Japanese occupation.
  • C. Calisota
    Calisota is a fictional U.S. state in Disney comics that serves as the broader setting for Duckburg and many of Donald Duck and Scrooge McDuck’s adventures.
  • D. Michigamea
    Michigamea were a Native American group historically associated with the Illinois Confederation, living primarily in the Mississippi River valley region.
  • E. Northern State
    Northern State is a sparsely populated administrative region in northern Sudan that encompasses much of the Nubian Desert and stretches along the Nile River.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b50983148190a116f7e7017ccb1c completed April 18, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7a08be48190bd2dbf83205c83ad completed May 10, 2026, 6 p.m.
Created at: April 10, 2026, 5:24 a.m.