Triple

T9011349
Position Surface form Disambiguated ID Type / Status
Subject Yukpa language E215479 entity
Predicate alternateName P39 FINISHED
Object Yuco
Yuco is an alternate name for the Yukpa language, an indigenous Cariban language spoken by the Yukpa people in parts of Colombia and Venezuela.
 E772716 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: Yuco | Statement: [Yukpa language, alternateName, Yuco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yuco
Context triple: [Yukpa language, alternateName, Yuco]
  • A. Yua
    Yua is a small genus of flowering plants in the grape family Vitaceae, native to parts of East Asia.
  • B. Yojo
    Yojo is the small wooden idol and personal god of the harpooner Queequeg in Herman Melville’s novel "Moby-Dick."
  • C. Tanay
    Tanay is a scenic municipality in the Philippine province of Rizal known for its mountains, waterfalls, and outdoor recreation sites.
  • D. Yoske
    Yoske is a diminutive or affectionate nickname commonly used as a short form of the Hebrew given name Yosef.
  • E. Mabini
    Mabini is a coastal municipality in the province of Batangas in the Philippines, known for its diving spots and marine biodiversity.
  • 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: Yuco
Triple: [Yukpa language, alternateName, Yuco]
Generated description
Yuco is an alternate name for the Yukpa language, an indigenous Cariban language spoken by the Yukpa people in parts of Colombia and Venezuela.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yuco
Target entity description: Yuco is an alternate name for the Yukpa language, an indigenous Cariban language spoken by the Yukpa people in parts of Colombia and Venezuela.
  • A. Yua
    Yua is a small genus of flowering plants in the grape family Vitaceae, native to parts of East Asia.
  • B. Yojo
    Yojo is the small wooden idol and personal god of the harpooner Queequeg in Herman Melville’s novel "Moby-Dick."
  • C. Tanay
    Tanay is a scenic municipality in the Philippine province of Rizal known for its mountains, waterfalls, and outdoor recreation sites.
  • D. Yoske
    Yoske is a diminutive or affectionate nickname commonly used as a short form of the Hebrew given name Yosef.
  • E. Mabini
    Mabini is a coastal municipality in the province of Batangas in the Philippines, known for its diving spots and marine biodiversity.
  • 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_69cfdb9dca848190952427bb5712081f completed April 3, 2026, 3:24 p.m.
NEDg Description generation batch_69cfdc5b230881908057cc868e44ea44 completed April 3, 2026, 3:27 p.m.
NED2 Entity disambiguation (via description) batch_69cfdcfc28288190b849b3f0216a7e9a completed April 3, 2026, 3:30 p.m.
Created at: March 30, 2026, 7:06 p.m.