Triple

T9415982
Position Surface form Disambiguated ID Type / Status
Subject Nakanamanga E227020 entity
Predicate hasAlternativeName P39 FINISHED
Object Ngunese
Ngunese is an Oceanic language of Vanuatu, also known as Nakanamanga, spoken primarily on Efate and nearby islands.
 E798125 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: Ngunese | Statement: [Nakanamanga, hasAlternativeName, Ngunese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ngunese
Context triple: [Nakanamanga, hasAlternativeName, Ngunese]
  • A. Kalanga language
    The Kalanga language is a Bantu language spoken primarily by the Kalanga people in parts of Botswana and southwestern Zimbabwe.
  • B. Waigali language
    The Waigali language is a Nuristani language spoken by the Waigal people in eastern Afghanistan.
  • C. Nyunga language
    The Nyunga language is an Australian Aboriginal language traditionally spoken by the Noongar people of southwestern Western Australia and is part of the broader Pama–Nyungan language family.
  • D. Winaray
    Winaray is an Austronesian language spoken primarily in the Eastern Visayas region of the Philippines, particularly in Samar, northern Leyte, and nearby areas.
  • E. Karanga language
    The Karanga language is a member of the Maban branch of the Nilo-Saharan language family, spoken by communities in the central African region.
  • 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: Ngunese
Triple: [Nakanamanga, hasAlternativeName, Ngunese]
Generated description
Ngunese is an Oceanic language of Vanuatu, also known as Nakanamanga, spoken primarily on Efate and nearby islands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ngunese
Target entity description: Ngunese is an Oceanic language of Vanuatu, also known as Nakanamanga, spoken primarily on Efate and nearby islands.
  • A. Kalanga language
    The Kalanga language is a Bantu language spoken primarily by the Kalanga people in parts of Botswana and southwestern Zimbabwe.
  • B. Waigali language
    The Waigali language is a Nuristani language spoken by the Waigal people in eastern Afghanistan.
  • C. Nyunga language
    The Nyunga language is an Australian Aboriginal language traditionally spoken by the Noongar people of southwestern Western Australia and is part of the broader Pama–Nyungan language family.
  • D. Winaray
    Winaray is an Austronesian language spoken primarily in the Eastern Visayas region of the Philippines, particularly in Samar, northern Leyte, and nearby areas.
  • E. Karanga language
    The Karanga language is a member of the Maban branch of the Nilo-Saharan language family, spoken by communities in the central African region.
  • 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_69ca84359e7c819091148ba4b670e436 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd68c9917481909f793a2a9efb2a75 completed April 1, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107baad74819090a746c06feb28ac completed April 4, 2026, 12:44 p.m.
NEDg Description generation batch_69d108477df08190b529426b09eb6e5a completed April 4, 2026, 12:47 p.m.
NED2 Entity disambiguation (via description) batch_69d108dbc1948190967c56ad877659cb completed April 4, 2026, 12:49 p.m.
Created at: March 30, 2026, 7:48 p.m.