Triple

T2589733
Position Surface form Disambiguated ID Type / Status
Subject Cahuilla language E58090 entity
Predicate hasAlternativeName P39 FINISHED
Object Ivilyuat
Ivilyuat is the endonym used by the Cahuilla people for their native Uto-Aztecan language traditionally spoken in Southern California.
 E285019 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 | Statement: [Cahuilla language, hasAlternativeName, Ivilyuat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ivilyuat
Context triple: [Cahuilla language, hasAlternativeName, Ivilyuat]
  • A. Yura
    Yura is a common Slavic diminutive form of the male given name Yuri (or Yuriy), often used as a familiar or affectionate nickname.
  • B. Yakut
    Yakut is a Turkic language spoken primarily in the Sakha Republic (Yakutia) in northeastern Siberia, Russia.
  • C. Yenakiieve
    Yenakiieve is an industrial city in eastern Ukraine, historically known for its coal mining and metallurgical industries.
  • D. Ozyornaya
    Ozyornaya is a Moscow Metro station on the Kalininsko–Solntsevskaya Line serving the western part of the city.
  • E. Anadyr
    Anadyr is a remote Arctic port town in Russia’s Far East, situated on the Anadyr River near the Bering Sea and serving as the main administrative, economic, and cultural center of the surrounding region.
  • 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
Triple: [Cahuilla language, hasAlternativeName, Ivilyuat]
Generated description
Ivilyuat is the endonym used by the Cahuilla people for their native Uto-Aztecan language traditionally spoken in Southern California.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ivilyuat
Target entity description: Ivilyuat is the endonym used by the Cahuilla people for their native Uto-Aztecan language traditionally spoken in Southern California.
  • A. Yura
    Yura is a common Slavic diminutive form of the male given name Yuri (or Yuriy), often used as a familiar or affectionate nickname.
  • B. Yakut
    Yakut is a Turkic language spoken primarily in the Sakha Republic (Yakutia) in northeastern Siberia, Russia.
  • C. Yenakiieve
    Yenakiieve is an industrial city in eastern Ukraine, historically known for its coal mining and metallurgical industries.
  • D. Ozyornaya
    Ozyornaya is a Moscow Metro station on the Kalininsko–Solntsevskaya Line serving the western part of the city.
  • E. Anadyr
    Anadyr is a remote Arctic port town in Russia’s Far East, situated on the Anadyr River near the Bering Sea and serving as the main administrative, economic, and cultural center of the surrounding region.
  • 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_69ab4ac019c8819094add11c46706e32 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd3feb45c81909369a49c3990294a completed March 7, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98b03dd08190a7d0df9f06fb3048 completed March 10, 2026, 4:06 a.m.
NEDg Description generation batch_69af996e93f08190ac4b8faa64fb0550 completed March 10, 2026, 4:09 a.m.
NED2 Entity disambiguation (via description) batch_69af99d58744819098633b2b51f7943e completed March 10, 2026, 4:11 a.m.
Created at: March 6, 2026, 9:49 p.m.