Triple

T6852774
Position Surface form Disambiguated ID Type / Status
Subject Cup’ig people E158061 entity
Predicate language P15 FINISHED
Object Cup’ig language E148361 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: Cup’ig language | Statement: [Cup’ig people, language, Cup’ig language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cup’ig language
Context triple: [Cup’ig people, language, Cup’ig language]
  • A. Cupeno language
    The Cupeño language is an endangered Uto-Aztecan language historically spoken by the Cupeño people of Southern California.
  • B. Kavalan language
    The Kavalan language is an endangered Austronesian language of the indigenous Kavalan people of northeastern Taiwan.
  • C. Cup’ig dialect chosen
    The Cup’ig dialect is a Central Alaskan Yupik variety traditionally spoken by the Cup’ig people of Nunivak Island in Alaska.
  • D. Chumburung language
    The Chumburung language is a Niger-Congo language spoken primarily by the Chumburung people in Ghana.
  • E. Piipaash language
    The Piipaash language is a Native American language of the Yuman family traditionally spoken by the Piipaash (Maricopa) people of the lower Colorado River region in the southwestern United States.
  • 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_69c6882fae988190864cbba788c5ebb4 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d84fffbc8190943ca7f3f03937e9 completed March 27, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fd79e508190b00e45f9cceb3e21 completed March 28, 2026, 1:33 a.m.
Created at: March 27, 2026, 2:20 p.m.