Triple

T637338
Position Surface form Disambiguated ID Type / Status
Subject Chemehuevi language E16653 entity
Predicate ISO639-3 P208 FINISHED
Object ute
Ute is a Numic language of the Uto-Aztecan family traditionally spoken by the Ute people of the western United States.
 E79960 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: ute | Statement: [Chemehuevi language, ISO639-3, ute]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ute
Context triple: [Chemehuevi language, ISO639-3, ute]
  • A. ATE
    ATE is a U.S. National Science Foundation program that supports the education and training of technicians for advanced technology fields through partnerships between two-year colleges, industry, and other educational institutions.
  • B. Ur
    Ur was one of the most important ancient Sumerian city-states, renowned for its ziggurat and early urban civilization in southern Mesopotamia.
  • C. Nut
    Nut is the ancient Egyptian sky goddess, often depicted arching over the earth and associated with the heavens, stars, and the cyclical rebirth of the sun.
  • D. UL
    UL is the vehicle registration code used on license plates for the city of Ulm in Germany.
  • E. UP
    UP is the standard reporting mark used to identify rail equipment owned or operated by the Union Pacific Railroad in North America.
  • 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: ute
Triple: [Chemehuevi language, ISO639-3, ute]
Generated description
Ute is a Numic language of the Uto-Aztecan family traditionally spoken by the Ute people of the western United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ute
Target entity description: Ute is a Numic language of the Uto-Aztecan family traditionally spoken by the Ute people of the western United States.
  • A. ATE
    ATE is a U.S. National Science Foundation program that supports the education and training of technicians for advanced technology fields through partnerships between two-year colleges, industry, and other educational institutions.
  • B. Ur
    Ur was one of the most important ancient Sumerian city-states, renowned for its ziggurat and early urban civilization in southern Mesopotamia.
  • C. Nut
    Nut is the ancient Egyptian sky goddess, often depicted arching over the earth and associated with the heavens, stars, and the cyclical rebirth of the sun.
  • D. UL
    UL is the vehicle registration code used on license plates for the city of Ulm in Germany.
  • E. UP
    UP is the standard reporting mark used to identify rail equipment owned or operated by the Union Pacific Railroad in North America.
  • 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_69a4936be1c88190af56540324b57da7 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49ee7fdbc8190858e42bb1bfdb3ff completed March 1, 2026, 8:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a57405d6f48190b55542d50d3a1f22 completed March 2, 2026, 11:27 a.m.
NEDg Description generation batch_69a574b91b2c8190a09d837f2462c1b3 completed March 2, 2026, 11:30 a.m.
NED2 Entity disambiguation (via description) batch_69a5751b2e3081908c4cc5d54fa78e9d completed March 2, 2026, 11:31 a.m.
Created at: March 1, 2026, 7:35 p.m.