Triple
T1159942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mocha |
E24469
|
entity |
| Predicate | packageManager |
P5091
|
FINISHED |
| Object | npm |
E24478
|
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: npm | Statement: [Mocha, packageManager, npm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: npm Context triple: [Mocha, packageManager, npm]
-
A.
npm
chosen
npm is the default package manager and registry for Node.js, widely used to share, install, and manage JavaScript libraries and tools.
-
B.
GitHub Packages
GitHub Packages is a software package hosting and management service integrated into GitHub, enabling developers to publish, share, and reuse packages alongside their source code and workflows.
-
C.
Node.js
Node.js is an open-source, cross-platform runtime environment that allows developers to execute JavaScript code on the server side.
-
D.
NuGet package manager
NuGet package manager is a tool for managing and distributing reusable .NET libraries and dependencies, commonly integrated into development environments like Visual Studio.
-
E.
pip
pip is the standard command-line package manager for Python, used to install and manage software packages from the Python Package Index (PyPI) and other repositories.
- 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_69a494060e148190abb42f971242c197 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bcaf3a9081908bad2eba74dffbc1 |
completed | March 1, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac5ebbf80881909010e1e1e59212d4 |
completed | March 7, 2026, 5:22 p.m. |
Created at: March 1, 2026, 7:45 p.m.