Triple

T3203918
Position Surface form Disambiguated ID Type / Status
Subject Tiv language E67113 entity
Predicate hasAlternativeName P39 FINISHED
Object Munchi
Munchi is an alternative name for the Tiv language, a Southern Bantoid language spoken primarily in central Nigeria.
E335165 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: Munchi | Statement: [Tiv language, hasAlternativeName, Munchi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Munchi
Context triple: [Tiv language, hasAlternativeName, Munchi]
  • A. Marichi
    Marichi is a revered Vedic sage (one of the Saptarishi) regarded as a mind-born son of Brahma and an important progenitor in Hindu cosmology.
  • B. Saho
    Saho is a Cushitic language spoken primarily by the Saho people in Eritrea and neighboring regions of the Horn of Africa.
  • C. Honancho
    Honancho is a neighborhood in Tokyo, Japan, known as a residential area with convenient access to central city districts via the Tokyo Metro Marunouchi Line.
  • D. Minoru
    Minoru is a Japanese given name commonly used for males and borne by several notable figures in fields such as architecture, sports, and entertainment.
  • E. Maitama
    Maitama is an upscale, predominantly residential and diplomatic district in Abuja, Nigeria, known for housing embassies, government officials, and affluent residents.
  • 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: Munchi
Triple: [Tiv language, hasAlternativeName, Munchi]
Generated description
Munchi is an alternative name for the Tiv language, a Southern Bantoid language spoken primarily in central Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Munchi
Target entity description: Munchi is an alternative name for the Tiv language, a Southern Bantoid language spoken primarily in central Nigeria.
  • A. Marichi
    Marichi is a revered Vedic sage (one of the Saptarishi) regarded as a mind-born son of Brahma and an important progenitor in Hindu cosmology.
  • B. Saho
    Saho is a Cushitic language spoken primarily by the Saho people in Eritrea and neighboring regions of the Horn of Africa.
  • C. Honancho
    Honancho is a neighborhood in Tokyo, Japan, known as a residential area with convenient access to central city districts via the Tokyo Metro Marunouchi Line.
  • D. Minoru
    Minoru is a Japanese given name commonly used for males and borne by several notable figures in fields such as architecture, sports, and entertainment.
  • E. Maitama
    Maitama is an upscale, predominantly residential and diplomatic district in Abuja, Nigeria, known for housing embassies, government officials, and affluent residents.
  • 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_69ad8589bd988190afa7ed2bdffb7b33 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaa54124c8190a22089ce2eaedab5 completed March 8, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24bcbb0e88190b4413c4ba3de0eeb completed March 12, 2026, 5:14 a.m.
NEDg Description generation batch_69b24ca05434819080ee515b1e7bdcb4 completed March 12, 2026, 5:18 a.m.
NED2 Entity disambiguation (via description) batch_69b24d19250c81908a9c3ac95b83a473 completed March 12, 2026, 5:20 a.m.
Created at: March 8, 2026, 3:07 p.m.