Triple

T2476155
Position Surface form Disambiguated ID Type / Status
Subject Licancabur E55092 entity
Predicate nameLanguage P15 FINISHED
Object Kunza E131839 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 | Statement: [Licancabur, nameLanguage, Kunza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kunza
Context triple: [Licancabur, nameLanguage, Kunza]
  • A. Kunza chosen
    Kunza is an extinct indigenous language once spoken by the Atacameño (Likan Antai) people of northern Chile’s Atacama Desert region.
  • B. Kąⁿza
    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. Kuanua
    Kuanua is an Austronesian language spoken primarily by the Tolai people of East New Britain in Papua New Guinea.
  • D. Urunga
    Urunga is a small coastal town in New South Wales, Australia, known for its scenic boardwalks, estuary views, and relaxed seaside atmosphere.
  • E. Kungara
    Kungara is an alternative name for the Fur language, a Nilo-Saharan language spoken primarily by the Fur people of western Sudan.
  • 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_69ab49e279e88190ab10d7248aea9d11 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd14c8c388190bbdc486ffed6899e completed March 7, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69af17ab837881909bf8704acf9598e4 completed March 9, 2026, 6:55 p.m.
Created at: March 6, 2026, 9:45 p.m.