Triple
T22375384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knex |
E553138
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object |
Objection.js
Objection.js is a Node.js ORM for SQL databases that builds on Knex to provide a powerful, model-based query and relation mapping system.
|
E1532507
|
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: Objection.js | Statement: [Knex, integratesWith, Objection.js]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Objection.js Context triple: [Knex, integratesWith, Objection.js]
-
A.
Object Data Manager (ODM)
Object Data Manager (ODM) is IBM AIX’s low-level database-like system for storing and managing configuration and system object information.
-
B.
RethinkDB
RethinkDB is an open-source, distributed NoSQL database designed for real-time applications by pushing live updates to clients as data changes.
-
C.
FeathersJS
FeathersJS is a lightweight, real-time microservices framework for Node.js that simplifies building REST and WebSocket APIs.
-
D.
Orm
Orm is a prominent DC Comics supervillain and half-brother of Aquaman, often depicted as the Ocean Master and one of Atlantis’s chief antagonists.
-
E.
Sequelize
Sequelize is a popular Node.js ORM that provides a promise-based interface for working with SQL databases such as PostgreSQL, MySQL, MariaDB, SQLite, and SQL Server.
- 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: Objection.js Triple: [Knex, integratesWith, Objection.js]
Generated description
Objection.js is a Node.js ORM for SQL databases that builds on Knex to provide a powerful, model-based query and relation mapping system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Objection.js Target entity description: Objection.js is a Node.js ORM for SQL databases that builds on Knex to provide a powerful, model-based query and relation mapping system.
-
A.
Object Data Manager (ODM)
Object Data Manager (ODM) is IBM AIX’s low-level database-like system for storing and managing configuration and system object information.
-
B.
RethinkDB
RethinkDB is an open-source, distributed NoSQL database designed for real-time applications by pushing live updates to clients as data changes.
-
C.
FeathersJS
FeathersJS is a lightweight, real-time microservices framework for Node.js that simplifies building REST and WebSocket APIs.
-
D.
Orm
Orm is a prominent DC Comics supervillain and half-brother of Aquaman, often depicted as the Ocean Master and one of Atlantis’s chief antagonists.
-
E.
Sequelize
Sequelize is a popular Node.js ORM that provides a promise-based interface for working with SQL databases such as PostgreSQL, MySQL, MariaDB, SQLite, and SQL Server.
- 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_69e11e4c03248190a26a5060ea6973ee |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15807cb748190abd9adc08ca1ad4f |
completed | April 29, 2026, 12:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ae06e23dc8190b20d951ea908c6c8 |
completed | May 18, 2026, 9:48 a.m. |
| NEDg | Description generation | batch_6a0ae1b572748190a31b34e64a40f57d |
completed | May 18, 2026, 9:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ae26aaa8081908b255e39fb91dcb2 |
completed | May 18, 2026, 9:56 a.m. |
Created at: April 16, 2026, 8:45 p.m.