Triple

T5967498
Position Surface form Disambiguated ID Type / Status
Subject Caddoan languages E132788 entity
Predicate hasExtinctMember P2180 FINISHED
Object Kitsai language E559371 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: Kitsai language | Statement: [Caddoan languages, hasExtinctMember, Kitsai language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kitsai language
Context triple: [Caddoan languages, hasExtinctMember, Kitsai language]
  • A. Kitsai language chosen
    The Kitsai language is an extinct Caddoan language once spoken by the Kichai people of present-day Texas and Oklahoma.
  • B. Kitanemuk language
    The Kitanemuk language is an extinct Uto-Aztecan language once spoken by the Kitanemuk people of Southern California.
  • C. Jangil language
    The Jangil language is an extinct and poorly documented Ongan language once spoken by the Jangil (Rutland Island) people of the Andaman Islands in India.
  • D. Sakizaya language
    The Sakizaya language is an indigenous Austronesian language spoken by the Sakizaya people of eastern Taiwan.
  • E. Kangjia language
    The Kangjia language is a lesser-known Mongolic language spoken by the Kangjia people in parts of northwestern China.
  • 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_69c0086deab081908550159ca23eec9b completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c03a3f612481908744cb645f2ede1d completed March 22, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1083b22788190be47b593b30184c6 completed March 23, 2026, 9:30 a.m.
Created at: March 22, 2026, 4:03 p.m.