Triple
T15108401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 10gen |
E360846
|
entity |
| Predicate | ecosystem |
P964
|
FINISHED |
| Object |
MongoDB drivers
MongoDB drivers are officially supported client libraries that enable applications written in various programming languages to connect to and interact with MongoDB databases.
|
E1138554
|
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 drivers | Statement: [10gen, ecosystem, MongoDB drivers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MongoDB drivers Context triple: [10gen, ecosystem, MongoDB drivers]
-
A.
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.
-
B.
MongoDB database
MongoDB database is a popular open-source NoSQL document-oriented database designed for scalability, flexibility, and high performance in modern applications.
-
C.
10gen
10gen is the original company behind the development of the MongoDB NoSQL database, later renamed MongoDB Inc.
-
D.
Mongo
Mongo is a major Bantu language spoken primarily in the Democratic Republic of the Congo by the Mongo people.
-
E.
Mongo
Mongo is the dim-witted but immensely strong henchman from the satirical Western comedy film "Blazing Saddles."
- 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 drivers Triple: [10gen, ecosystem, MongoDB drivers]
Generated description
MongoDB drivers are officially supported client libraries that enable applications written in various programming languages to connect to and interact with MongoDB databases.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MongoDB drivers Target entity description: MongoDB drivers are officially supported client libraries that enable applications written in various programming languages to connect to and interact with MongoDB databases.
-
A.
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.
-
B.
MongoDB database
MongoDB database is a popular open-source NoSQL document-oriented database designed for scalability, flexibility, and high performance in modern applications.
-
C.
10gen
10gen is the original company behind the development of the MongoDB NoSQL database, later renamed MongoDB Inc.
-
D.
Mongo
Mongo is a major Bantu language spoken primarily in the Democratic Republic of the Congo by the Mongo people.
-
E.
Mongo
Mongo is the dim-witted but immensely strong henchman from the satirical Western comedy film "Blazing Saddles."
- 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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0058af8988190977d998f85893836 |
completed | April 15, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7e912ac8190bd0e0c9cdbbd0194 |
completed | May 9, 2026, 4:28 a.m. |
| NEDg | Description generation | batch_69feba1d256c8190ba13379d0cb8135c |
completed | May 9, 2026, 4:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feba93c4cc819083c683210d1f03f8 |
completed | May 9, 2026, 4:39 a.m. |
Created at: April 10, 2026, 3:05 a.m.