Triple

T7161891
Position Surface form Disambiguated ID Type / Status
Subject Central Bantu E166965 entity
Predicate hasMajorLanguage P207 FINISHED
Object Suku
Suku is a Bantu language spoken primarily by the Suku people in parts of the Democratic Republic of the Congo.
E645172 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: Suku | Statement: [Central Bantu, hasMajorLanguage, Suku]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suku
Context triple: [Central Bantu, hasMajorLanguage, Suku]
  • A. Rasis
    Rasis is the Latinized name of Al-Razi, a prominent Persian polymath and physician of the Islamic Golden Age known for his influential works in medicine and philosophy.
  • B. Saka
    Saka is an ancient Eastern Iranian language once spoken by the Saka people in the Tarim Basin region of Central Asia.
  • C. Matehuala
    Matehuala is a significant commercial and transportation hub city in the northern part of the Mexican state of San Luis Potosí.
  • D. Sambians
    The Sambians were a prominent Baltic tribe inhabiting the Sambia Peninsula in what is now Kaliningrad Oblast, known for their role in amber trade and as part of the Old Prussian peoples.
  • E. Xibe
    The Xibe are a Tungusic-speaking ethnic minority in China, culturally related to the Manchu and known for their historical role as frontier garrisons in regions such as Xinjiang.
  • 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: Suku
Triple: [Central Bantu, hasMajorLanguage, Suku]
Generated description
Suku is a Bantu language spoken primarily by the Suku people in parts of the Democratic Republic of the Congo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Suku
Target entity description: Suku is a Bantu language spoken primarily by the Suku people in parts of the Democratic Republic of the Congo.
  • A. Rasis
    Rasis is the Latinized name of Al-Razi, a prominent Persian polymath and physician of the Islamic Golden Age known for his influential works in medicine and philosophy.
  • B. Saka
    Saka is an ancient Eastern Iranian language once spoken by the Saka people in the Tarim Basin region of Central Asia.
  • C. Matehuala
    Matehuala is a significant commercial and transportation hub city in the northern part of the Mexican state of San Luis Potosí.
  • D. Sambians
    The Sambians were a prominent Baltic tribe inhabiting the Sambia Peninsula in what is now Kaliningrad Oblast, known for their role in amber trade and as part of the Old Prussian peoples.
  • E. Xibe
    The Xibe are a Tungusic-speaking ethnic minority in China, culturally related to the Manchu and known for their historical role as frontier garrisons in regions such as Xinjiang.
  • 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_69c68887a5cc8190bec0ea96227164f7 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e82e4b248190ad3c3863cb93971e completed March 27, 2026, 8:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7adc4b7648190969fab0351f9fd22 completed March 28, 2026, 10:30 a.m.
NEDg Description generation batch_69c7ae44e0d48190818b193e03aba6a4 completed March 28, 2026, 10:32 a.m.
NED2 Entity disambiguation (via description) batch_69c7aeb68c3481909c6dff8ee51349ab completed March 28, 2026, 10:34 a.m.
Created at: March 27, 2026, 2:47 p.m.