Triple

T6762731
Position Surface form Disambiguated ID Type / Status
Subject Ronga E154633 entity
Predicate hasAlternativeName P39 FINISHED
Object XiRonga
XiRonga is a Bantu language spoken primarily by the Ronga people in southern Mozambique and surrounding regions.
 E618001 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: XiRonga | Statement: [Ronga, hasAlternativeName, XiRonga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: XiRonga
Context triple: [Ronga, hasAlternativeName, XiRonga]
  • A. Xierqi
    Xierqi is a major technology and business hub in Beijing, known for its concentration of high-tech companies and convenient transportation links.
  • B. Xing
    Xing is a German-based professional networking platform focused on career development and business connections, particularly in German-speaking countries.
  • C. Rengong
    Rengong is the courtesy name of Liang Qichao, a prominent late Qing and early Republican Chinese scholar, journalist, and reformist thinker.
  • D. Wulian
    Wulian is a county-level city in eastern China’s Shandong province, known for its mountainous scenery and location on the Shandong Peninsula.
  • E. Xiaobo
    Xiaobo is the given name of Liu Xiaobo, the Chinese literary critic, human rights activist, and Nobel Peace Prize laureate.
  • 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: XiRonga
Triple: [Ronga, hasAlternativeName, XiRonga]
Generated description
XiRonga is a Bantu language spoken primarily by the Ronga people in southern Mozambique and surrounding regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: XiRonga
Target entity description: XiRonga is a Bantu language spoken primarily by the Ronga people in southern Mozambique and surrounding regions.
  • A. Xierqi
    Xierqi is a major technology and business hub in Beijing, known for its concentration of high-tech companies and convenient transportation links.
  • B. Xing
    Xing is a German-based professional networking platform focused on career development and business connections, particularly in German-speaking countries.
  • C. Rengong
    Rengong is the courtesy name of Liang Qichao, a prominent late Qing and early Republican Chinese scholar, journalist, and reformist thinker.
  • D. Wulian
    Wulian is a county-level city in eastern China’s Shandong province, known for its mountainous scenery and location on the Shandong Peninsula.
  • E. Xiaobo
    Xiaobo is the given name of Liu Xiaobo, the Chinese literary critic, human rights activist, and Nobel Peace Prize laureate.
  • 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_69c688109c1c8190added9a221292af0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2160a2c8190837c608a3509c62c completed March 27, 2026, 6:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712b6ec408190bd9131f289b02ba7 completed March 27, 2026, 11:28 p.m.
NEDg Description generation batch_69c713b3accc81908d19c1b00e2c312c completed March 27, 2026, 11:33 p.m.
NED2 Entity disambiguation (via description) batch_69c7146413748190b844d9422dce42c2 completed March 27, 2026, 11:36 p.m.
Created at: March 27, 2026, 2:12 p.m.