Triple
T4280014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amazon Kinesis Data Firehose |
E97124
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object |
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.
|
E426147
|
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: MongoDB Cloud | Statement: [Amazon Kinesis Data Firehose, integratesWith, MongoDB Cloud]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MongoDB Cloud Context triple: [Amazon Kinesis Data Firehose, integratesWith, MongoDB Cloud]
-
A.
MongoDB database
MongoDB database is a popular open-source NoSQL document-oriented database designed for scalability, flexibility, and high performance in modern applications.
-
B.
Amazon DocumentDB
Amazon DocumentDB is a fully managed, scalable document database service from AWS designed to be compatible with MongoDB workloads and optimized for performance, durability, and security in the cloud.
-
C.
Azure Cosmos DB
Azure Cosmos DB is a globally distributed, multi-model NoSQL database service designed for low-latency, scalable applications in the cloud.
-
D.
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.
-
E.
10gen
10gen is the original company behind the development of the MongoDB NoSQL database, later renamed MongoDB Inc.
- 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: MongoDB Cloud Triple: [Amazon Kinesis Data Firehose, integratesWith, MongoDB Cloud]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MongoDB Cloud Target entity description: 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.
-
A.
MongoDB database
MongoDB database is a popular open-source NoSQL document-oriented database designed for scalability, flexibility, and high performance in modern applications.
-
B.
Amazon DocumentDB
Amazon DocumentDB is a fully managed, scalable document database service from AWS designed to be compatible with MongoDB workloads and optimized for performance, durability, and security in the cloud.
-
C.
Azure Cosmos DB
Azure Cosmos DB is a globally distributed, multi-model NoSQL database service designed for low-latency, scalable applications in the cloud.
-
D.
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.
-
E.
10gen
10gen is the original company behind the development of the MongoDB NoSQL database, later renamed MongoDB Inc.
- 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_69b34544be3c819084d1ab82d29f90c5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b350367da48190b735deef9b5d2d2e |
completed | March 12, 2026, 11:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b7bb0168819082a49347fdfe0997 |
completed | March 14, 2026, 7:32 p.m. |
| NEDg | Description generation | batch_69b5b88fc3c08190acc376d3c3ccd147 |
completed | March 14, 2026, 7:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5b8eada308190809db5c4ff7eeac6 |
completed | March 14, 2026, 7:37 p.m. |
Created at: March 12, 2026, 11:07 p.m.