Triple
T8175613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Language Server Protocol |
E190930
|
entity |
| Predicate | developedBy |
P73
|
FINISHED |
| Object | Codenvy |
E578401
|
NE FINISHED |
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: Codenvy | Statement: [Language Server Protocol, developedBy, Codenvy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Codenvy Context triple: [Language Server Protocol, developedBy, Codenvy]
-
A.
Eclipse Che
chosen
Eclipse Che is an open-source, cloud-based integrated development environment (IDE) platform designed to provide containerized workspaces for collaborative software development.
-
B.
Cloud9
Cloud9 is a prominent North American esports organization best known for its success across games like League of Legends, Counter-Strike, and Valorant.
-
C.
GitHub Copilot
GitHub Copilot is an AI-powered code completion and pair-programming tool that suggests code and entire functions directly within developers’ editors.
-
D.
GitLab
GitLab is a web-based DevOps platform that provides Git repository hosting along with integrated tools for source code management, CI/CD, and project collaboration.
-
E.
Cloud Code
Cloud Code is a set of IDE extensions from Google that streamlines developing, debugging, and deploying cloud-native applications on Google Cloud services like Cloud Run and Kubernetes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca82c1c0a08190bf8692b4d91a03ca |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4ab8295081909a450fcaa34f6ec6 |
completed | March 31, 2026, 4:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbf6d4ba881908f1bac9cce6cc29d |
completed | April 1, 2026, 6:47 a.m. |
Created at: March 30, 2026, 5:40 p.m.