Triple

T14175062
Position Surface form Disambiguated ID Type / Status
Subject Havasupai–Walapai–Yavapai E351310 entity
Predicate hasMember P10 FINISHED
Object Walapai language E80812 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: Walapai language | Statement: [Havasupai–Walapai–Yavapai, hasMember, Walapai language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walapai language
Context triple: [Havasupai–Walapai–Yavapai, hasMember, Walapai language]
  • A. Walapai language chosen
    The Walapai language is a Native American language of the Yuman family traditionally spoken by the Hualapai people of northwestern Arizona.
  • B. Yavapai language
    The Yavapai language is an indigenous Native American language traditionally spoken by the Yavapai people of central and western Arizona.
  • C. Yakama language
    The Yakama language is a Native American Sahaptin language traditionally spoken by the Yakama people of the Pacific Northwest region of the United States.
  • D. Kakwa language
    The Kakwa language is a Nilo-Saharan language spoken primarily by the Kakwa people in parts of South Sudan, Uganda, and the Democratic Republic of the Congo.
  • E. Yawalapiti language
    The Yawalapiti language is an Arawakan language spoken by the Yawalapiti people of Brazil’s Upper Xingu region in the Amazon.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b7cc3081909f4fa371e1eae130 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd193f85e88190b37a37747ec9d019 completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:02 a.m.