Triple

T22888343
Position Surface form Disambiguated ID Type / Status
Subject Namuyi language E567666 entity
Predicate alternativeName P39 FINISHED
Object Namuzi
Namuzi is an alternative name for the Namuyi language, a Sino-Tibetan language spoken by the Namuyi people in parts of southwestern China.
 E1559890 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: Namuzi | Statement: [Namuyi language, alternativeName, Namuzi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Namuzi
Context triple: [Namuyi language, alternativeName, Namuzi]
  • A. Musanze
    Musanze is a major town in northern Rwanda that serves as the primary gateway for tourists visiting Volcanoes National Park and its mountain gorillas.
  • B. Mukuzani
    Mukuzani is a renowned Georgian red wine appellation known for producing dry, oak-aged wines from the Saperavi grape in the Kakheti region.
  • C. Muzna
    Muzna was the mother of Abd al-Rahman III, the powerful 10th-century Umayyad ruler who became the first Caliph of Córdoba in al-Andalus.
  • D. Mipha
    Mipha is a gentle and skilled Zora princess and Champion in The Legend of Zelda: Breath of the Wild, known for her healing powers and close bond with Link.
  • E. Mamuwalde
    Mamuwalde is the tragic African prince-turned-vampire better known as Blacula, the central figure of the 1970s blaxploitation horror films.
  • 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: Namuzi
Triple: [Namuyi language, alternativeName, Namuzi]
Generated description
Namuzi is an alternative name for the Namuyi language, a Sino-Tibetan language spoken by the Namuyi people in parts of southwestern China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Namuzi
Target entity description: Namuzi is an alternative name for the Namuyi language, a Sino-Tibetan language spoken by the Namuyi people in parts of southwestern China.
  • A. Musanze
    Musanze is a major town in northern Rwanda that serves as the primary gateway for tourists visiting Volcanoes National Park and its mountain gorillas.
  • B. Mukuzani
    Mukuzani is a renowned Georgian red wine appellation known for producing dry, oak-aged wines from the Saperavi grape in the Kakheti region.
  • C. Muzna
    Muzna was the mother of Abd al-Rahman III, the powerful 10th-century Umayyad ruler who became the first Caliph of Córdoba in al-Andalus.
  • D. Mipha
    Mipha is a gentle and skilled Zora princess and Champion in The Legend of Zelda: Breath of the Wild, known for her healing powers and close bond with Link.
  • E. Mamuwalde
    Mamuwalde is the tragic African prince-turned-vampire better known as Blacula, the central figure of the 1970s blaxploitation horror films.
  • 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_69e2458a92ec81908fc1cd5f6407d2ab completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17fc2adb4819081bce7e6849ba31a completed April 29, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bb9be4c688190820b484bea11696b completed May 19, 2026, 1:15 a.m.
NEDg Description generation batch_6a0bbb38da508190bc1d9bc8538cdbe2 completed May 19, 2026, 1:22 a.m.
NED2 Entity disambiguation (via description) batch_6a0bbc1bd0808190a0a5f8f603308b45 completed May 19, 2026, 1:25 a.m.
Created at: April 17, 2026, 3:40 p.m.