Triple

T11581760
Position Surface form Disambiguated ID Type / Status
Subject Atacameño people E274641 entity
Predicate language P15 FINISHED
Object Kunza language E469002 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: Kunza language | Statement: [Atacameño people, language, Kunza language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kunza language
Context triple: [Atacameño people, language, Kunza language]
  • A. Kunza language chosen
    Kunza language is an extinct indigenous language once spoken by the Atacameño people of northern Chile and surrounding Andean regions.
  • B. Kuanua language
    The Kuanua language is an Austronesian language spoken primarily by the Tolai people of East New Britain in Papua New Guinea.
  • C. Kalanguya language
    The Kalanguya language is an Austronesian language spoken by the Kalanguya people in the northern Luzon highlands of the Philippines.
  • D. Kumbewaha language
    The Kumbewaha language is an Austronesian language spoken in Sulawesi, Indonesia, belonging to the Wotu–Wolio subgroup.
  • E. Konkow language
    The Konkow language is an endangered Native American language traditionally spoken by the Konkow (Koyom’kawi) people of northern California.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8904c51b881909e7be84c6f3de79f completed April 10, 2026, 5:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69e7141b16d8819099002a009260a85a completed April 21, 2026, 6:07 a.m.
Created at: April 8, 2026, 9:38 p.m.