Triple

T9011348
Position Surface form Disambiguated ID Type / Status
Subject Yukpa language E215479 entity
Predicate alternateName P39 FINISHED
Object Yuko
Yuko is an alternate name for the Yukpa language, an indigenous language spoken by the Yukpa people of Colombia and Venezuela.
 E774252 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: Yuko | Statement: [Yukpa language, alternateName, Yuko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yuko
Context triple: [Yukpa language, alternateName, Yuko]
  • A. Yukie
    Yukie is a Japanese film featuring Ken Watanabe in a prominent role.
  • B. Yuki
    The Yuki are a Native American people indigenous to what is now Northern California, traditionally living in the upper Eel River region with distinct languages and cultural practices.
  • C. Takako
    Takako is a Japanese feminine given name borne by various notable figures in politics, arts, and entertainment.
  • D. Kyoko
    Kyoko is a mysterious, mostly silent android in the science fiction film "Ex Machina," serving as both assistant and unsettling presence within the reclusive inventor Nathan's isolated research facility.
  • E. Yoske
    Yoske is a diminutive or affectionate nickname commonly used as a short form of the Hebrew given name Yosef.
  • 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: Yuko
Triple: [Yukpa language, alternateName, Yuko]
Generated description
Yuko is an alternate name for the Yukpa language, an indigenous language spoken by the Yukpa people of Colombia and Venezuela.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yuko
Target entity description: Yuko is an alternate name for the Yukpa language, an indigenous language spoken by the Yukpa people of Colombia and Venezuela.
  • A. Yukie
    Yukie is a Japanese film featuring Ken Watanabe in a prominent role.
  • B. Yuki
    The Yuki are a Native American people indigenous to what is now Northern California, traditionally living in the upper Eel River region with distinct languages and cultural practices.
  • C. Takako
    Takako is a Japanese feminine given name borne by various notable figures in politics, arts, and entertainment.
  • D. Kyoko
    Kyoko is a mysterious, mostly silent android in the science fiction film "Ex Machina," serving as both assistant and unsettling presence within the reclusive inventor Nathan's isolated research facility.
  • E. Yoske
    Yoske is a diminutive or affectionate nickname commonly used as a short form of the Hebrew given name Yosef.
  • 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_69ca83a2bf088190986ee7a8eb90407d completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc69c1571881908d0b144786b5ee1f completed April 1, 2026, 12:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfeb671e488190920fb1780e4ad48d completed April 3, 2026, 4:31 p.m.
NEDg Description generation batch_69cfedb37584819083038f1498b00886 completed April 3, 2026, 4:41 p.m.
NED2 Entity disambiguation (via description) batch_69cfee063adc8190a1f2bd447f137e56 completed April 3, 2026, 4:42 p.m.
Created at: March 30, 2026, 7:06 p.m.