Triple

T22621371
Position Surface form Disambiguated ID Type / Status
Subject Akawaio E558288 entity
Predicate language P15 FINISHED
Object Akawaio language NE NERFINISHED

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: Akawaio language | Statement: [Akawaio, language, Akawaio language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akawaio language
Context triple: [Akawaio, language, Akawaio language]
  • A. Akawaio language chosen
    The Akawaio language is an indigenous Cariban language spoken by the Akawaio people of Guyana, Venezuela, and Brazil.
  • B. Kawaiisu language
    Kawaiisu language is an endangered Uto-Aztecan language traditionally spoken by the Kawaiisu people of southern California.
  • C. Sayawa language
    The Sayawa language is a Chadic language spoken primarily by the Sayawa people in Bauchi State, northeastern Nigeria.
  • D. Karawari language
    The Karawari language is a Papuan language spoken by indigenous communities living along the Karawari River region of East Sepik Province in Papua New Guinea.
  • E. Kawki language
    The Kawki language is a lesser-known indigenous Aymaran language variety spoken by a small community in the Andean region of South America.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24545a8e08190bfa7482a2c725ff1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f16e39959481909e0ae67379435f95 completed April 29, 2026, 2:34 a.m.
Created at: April 17, 2026, 3 p.m.