Triple

T11721132
Position Surface form Disambiguated ID Type / Status
Subject Takic branch E278631 entity
Predicate hasLanguage P15 FINISHED
Object Ivilyuat language
The Ivilyuat language is an endangered Uto-Aztecan language traditionally spoken by the Cahuilla people of Southern California.
 E942842 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: Ivilyuat language | Statement: [Takic branch, hasLanguage, Ivilyuat language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ivilyuat language
Context triple: [Takic branch, hasLanguage, Ivilyuat language]
  • A. Udege language
    The Udege language is a critically endangered Tungusic language spoken by the Udege people of the Russian Far East.
  • B. Ulch language
    The Ulch language is a critically endangered Tungusic language spoken by the Ulch people in the Russian Far East, primarily along the lower Amur River.
  • C. Mussau-Emira language
    Mussau-Emira language is an Oceanic Austronesian language spoken primarily on Mussau and nearby islands in Papua New Guinea.
  • D. Denya language
    Denya is a Bantoid language of the Mamfe group spoken by a small community in southwestern Cameroon.
  • E. Tsakhur language
    The Tsakhur language is a Northeast Caucasian language spoken primarily by the Tsakhur people in parts of Azerbaijan and Dagestan.
  • 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: Ivilyuat language
Triple: [Takic branch, hasLanguage, Ivilyuat language]
Generated description
The Ivilyuat language is an endangered Uto-Aztecan language traditionally spoken by the Cahuilla people of Southern California.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ivilyuat language
Target entity description: The Ivilyuat language is an endangered Uto-Aztecan language traditionally spoken by the Cahuilla people of Southern California.
  • A. Udege language
    The Udege language is a critically endangered Tungusic language spoken by the Udege people of the Russian Far East.
  • B. Ulch language
    The Ulch language is a critically endangered Tungusic language spoken by the Ulch people in the Russian Far East, primarily along the lower Amur River.
  • C. Mussau-Emira language
    Mussau-Emira language is an Oceanic Austronesian language spoken primarily on Mussau and nearby islands in Papua New Guinea.
  • D. Denya language
    Denya is a Bantoid language of the Mamfe group spoken by a small community in southwestern Cameroon.
  • E. Tsakhur language
    The Tsakhur language is a Northeast Caucasian language spoken primarily by the Tsakhur people in parts of Azerbaijan and Dagestan.
  • 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4c373088190bc2ae77a1696d280 completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef83c8ac2c8190b3bba7db42734f3a completed April 27, 2026, 3:42 p.m.
NEDg Description generation batch_69ef96b13be881908102ffa867f96c22 completed April 27, 2026, 5:02 p.m.
NED2 Entity disambiguation (via description) batch_69efb51113708190998b570c33b9d0e7 completed April 27, 2026, 7:12 p.m.
Created at: April 8, 2026, 9:40 p.m.