Triple

T378153
Position Surface form Disambiguated ID Type / Status
Subject Shuar E8615 entity
Predicate relatedTo P37 FINISHED
Object Huambisa language E48223 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: Huambisa language | Statement: [Shuar, relatedTo, Huambisa language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huambisa language
Context triple: [Shuar, relatedTo, Huambisa language]
  • A. Chemehuevi language
    Chemehuevi language is a critically endangered Uto-Aztecan language traditionally spoken by the Chemehuevi people of the Great Basin region in the southwestern United States.
  • B. Achuar-Shiwiar language
    The Achuar-Shiwiar language is a Jivaroan language spoken by the Achuar and Shiwiar Indigenous peoples of the Amazon rainforest in Ecuador and Peru.
  • C. Ipai language
    The Ipai language is a Native American language traditionally spoken by the Kumeyaay (Ipai) people of southern California and northern Baja California.
  • D. Aguaruna language chosen
    The Aguaruna language is a Jivaroan language spoken by the Aguaruna (Awajún) people of northern Peru, closely related to the Shuar language of Ecuador.
  • E. Pichi language
    Pichi is an English-based creole language spoken primarily in Equatorial Guinea, where it serves as a major lingua franca and has significantly shaped local varieties of Spanish.
  • 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_69a2e7f47dd08190a4e294ccbbe46cd4 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec2974988190a1d6316cbb5159c8 completed Feb. 28, 2026, 1:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3fe92911881908ee7f88d5c628ec9 completed March 1, 2026, 8:53 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.