Triple

T1187828
Position Surface form Disambiguated ID Type / Status
Subject Southern Bantu E25286 entity
Predicate hasMemberLanguage P7390 FINISHED
Object Yao
Yao is a Southern Bantu language spoken primarily in Malawi, Mozambique, and Tanzania by the Yao people.
E136467 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: Yao | Statement: [Southern Bantu, hasMemberLanguage, Yao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yao
Context triple: [Southern Bantu, hasMemberLanguage, Yao]
  • A. Yao
    Yao is a city in Osaka Prefecture, Japan, known as an industrial and residential hub within the Kansai region.
  • B. Zhu
    Zhu is a common Chinese surname borne by many notable historical and contemporary figures in China.
  • C. Hui
    The Hui are a predominantly Muslim ethnic group in China known for their integration of Islamic faith with Han Chinese language and cultural practices.
  • D. Wu
    Wu is a common Chinese surname borne by many notable individuals across politics, academia, entertainment, and sports.
  • E. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • 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: Yao
Triple: [Southern Bantu, hasMemberLanguage, Yao]
Generated description
Yao is a Southern Bantu language spoken primarily in Malawi, Mozambique, and Tanzania by the Yao people.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yao
Target entity description: Yao is a Southern Bantu language spoken primarily in Malawi, Mozambique, and Tanzania by the Yao people.
  • A. Yao
    Yao is a city in Osaka Prefecture, Japan, known as an industrial and residential hub within the Kansai region.
  • B. Zhu
    Zhu is a common Chinese surname borne by many notable historical and contemporary figures in China.
  • C. Hui
    The Hui are a predominantly Muslim ethnic group in China known for their integration of Islamic faith with Han Chinese language and cultural practices.
  • D. Wu
    Wu is a common Chinese surname borne by many notable individuals across politics, academia, entertainment, and sports.
  • E. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • 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_69a49427d98881908646d6c63b8cea1e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd568cf481908d10cf19a3ce28f3 completed March 1, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac764a5f508190a54c8f01cf0b0d11 completed March 7, 2026, 7:02 p.m.
NEDg Description generation batch_69ac76c0863c81909c68208709e4767b completed March 7, 2026, 7:04 p.m.
NED2 Entity disambiguation (via description) batch_69ac778551f88190ac041d80e41d209d completed March 7, 2026, 7:07 p.m.
Created at: March 1, 2026, 7:45 p.m.