Triple

T18066276
Position Surface form Disambiguated ID Type / Status
Subject Yuki–Wappo languages E432301 entity
Predicate hasPart P35 FINISHED
Object Wappo language
The Wappo language is an extinct Native American language once spoken by the Wappo people of northern California.
E1303564 NE FINISHED

How this triple was built (4 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: Wappo language | Statement: [Yuki–Wappo languages, hasPart, Wappo language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wappo language
Context triple: [Yuki–Wappo languages, hasPart, Wappo language]
  • A. Wauja language
    The Wauja language is an indigenous Arawakan language spoken by the Wauja people of Brazil’s Upper Xingu region in the Amazon.
  • B. Opuo language
    Opuo is a Koman language spoken by a small ethnic group in parts of Ethiopia and South Sudan, known for its highly endangered status and limited documentation.
  • C. Wai-Wai language
    The Wai-Wai language is a Cariban language spoken by the Wai-Wai Indigenous people of northern Brazil and neighboring regions of Guyana and Suriname.
  • D. Akawaio language
    The Akawaio language is an indigenous Cariban language spoken by the Akawaio people of Guyana, Venezuela, and Brazil.
  • E. Kawaiisu language
    Kawaiisu language is an endangered Uto-Aztecan language traditionally spoken by the Kawaiisu people of southern California.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Wappo language
Triple: [Yuki–Wappo languages, hasPart, Wappo language]
Generated description
The Wappo language is an extinct Native American language once spoken by the Wappo people of northern California.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wappo language
Target entity description: The Wappo language is an extinct Native American language once spoken by the Wappo people of northern California.
  • A. Wauja language
    The Wauja language is an indigenous Arawakan language spoken by the Wauja people of Brazil’s Upper Xingu region in the Amazon.
  • B. Opuo language
    Opuo is a Koman language spoken by a small ethnic group in parts of Ethiopia and South Sudan, known for its highly endangered status and limited documentation.
  • C. Wai-Wai language
    The Wai-Wai language is a Cariban language spoken by the Wai-Wai Indigenous people of northern Brazil and neighboring regions of Guyana and Suriname.
  • D. Akawaio language
    The Akawaio language is an indigenous Cariban language spoken by the Akawaio people of Guyana, Venezuela, and Brazil.
  • E. Kawaiisu language
    Kawaiisu language is an endangered Uto-Aztecan language traditionally spoken by the Kawaiisu people of southern California.
  • F. None of above. chosen

Provenance (5 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4cce97ce08190a2f8762ce545e091 completed April 19, 2026, 12:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a035670159081909bc8c626318253a2 completed May 12, 2026, 4:33 p.m.
NEDg Description generation batch_6a03576c04e881908f76694f053d709a completed May 12, 2026, 4:38 p.m.
NED2 Entity disambiguation (via description) batch_6a0357f78a7c819083d57f330083698e completed May 12, 2026, 4:40 p.m.
Created at: April 10, 2026, 10:26 a.m.