Triple

T7161878
Position Surface form Disambiguated ID Type / Status
Subject Central Bantu E166965 entity
Predicate hasMajorLanguage P207 FINISHED
Object Mongo
Mongo is a major Bantu language spoken primarily in the Democratic Republic of the Congo by the Mongo people.
 E645167 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: Mongo | Statement: [Central Bantu, hasMajorLanguage, Mongo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mongo
Context triple: [Central Bantu, hasMajorLanguage, Mongo]
  • A. Mongo
    Mongo is the first child of Claireece "Precious" Jones in the novel and film "Precious," born with severe disabilities as a result of incestuous abuse.
  • B. Mongo
    Mongo is the nickname of Steve "Mongo" McMichael, a former NFL defensive tackle and professional wrestler best known for his time with the Chicago Bears and WCW.
  • C. MongoDB database
    MongoDB database is a popular open-source NoSQL document-oriented database designed for scalability, flexibility, and high performance in modern applications.
  • D. 10gen
    10gen is the original company behind the development of the MongoDB NoSQL database, later renamed MongoDB Inc.
  • E. MongoDB Cloud
    MongoDB Cloud is a fully managed cloud database platform that provides scalable, secure, and globally distributed MongoDB database services along with tools for data management, monitoring, and analytics.
  • 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: Mongo
Triple: [Central Bantu, hasMajorLanguage, Mongo]
Generated description
Mongo is a major Bantu language spoken primarily in the Democratic Republic of the Congo by the Mongo people.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mongo
Target entity description: Mongo is a major Bantu language spoken primarily in the Democratic Republic of the Congo by the Mongo people.
  • A. Mongo
    Mongo is the nickname of Steve "Mongo" McMichael, a former NFL defensive tackle and professional wrestler best known for his time with the Chicago Bears and WCW.
  • B. Mongo
    Mongo is the first child of Claireece "Precious" Jones in the novel and film "Precious," born with severe disabilities as a result of incestuous abuse.
  • C. MongoDB database
    MongoDB database is a popular open-source NoSQL document-oriented database designed for scalability, flexibility, and high performance in modern applications.
  • D. 10gen
    10gen is the original company behind the development of the MongoDB NoSQL database, later renamed MongoDB Inc.
  • E. MongoDB Cloud
    MongoDB Cloud is a fully managed cloud database platform that provides scalable, secure, and globally distributed MongoDB database services along with tools for data management, monitoring, and analytics.
  • 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.