Triple
T17499123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MongoDB Cloud |
E426147
|
entity |
| Predicate | includes |
P1393
|
FINISHED |
| Object | MongoDB Atlas Search |
—
|
NE NERFINISHED |
How this triple was built (2 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 Atlas Search | Statement: [MongoDB Cloud, includes, MongoDB Atlas Search]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MongoDB Atlas Search Context triple: [MongoDB Cloud, includes, MongoDB Atlas Search]
-
A.
MongoDB Atlas Search
chosen
MongoDB Atlas Search is a fully managed, integrated search engine within MongoDB Atlas that provides rich, full-text search capabilities directly on MongoDB data.
-
B.
MongoDB Atlas Vector Search
MongoDB Atlas Vector Search is a managed, cloud-native vector search capability within MongoDB Atlas that enables building AI and semantic search applications by storing and querying vector embeddings alongside operational data.
-
C.
MongoDB API
MongoDB API is a MongoDB-compatible interface that allows applications to interact with certain non-MongoDB databases (such as Azure Cosmos DB) using MongoDB drivers and query syntax.
-
D.
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.
-
E.
MongoDB Atlas Data Lake
MongoDB Atlas Data Lake is a fully managed cloud service that lets users query and analyze data across cloud object storage and MongoDB databases using the MongoDB query language without complex data movement or transformation.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4521028048190aa7c4023a72a12f4 |
completed | April 19, 2026, 3:54 a.m. |
Created at: April 10, 2026, 5:48 a.m.