Triple
T14394562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WebStorm |
E356921
|
entity |
| Predicate | supportsProjectModel |
P4243
|
FINISHED |
| Object | npm-based projects |
—
|
LITERAL 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-based projects | Statement: [WebStorm, supportsProjectModel, npm-based projects]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsProjectModel Context triple: [WebStorm, supportsProjectModel, npm-based projects]
-
A.
supportsProject
Indicates that one entity provides assistance, resources, or endorsement to help another entity’s project succeed.
-
B.
supportsProjectsIn
Indicates that one entity provides assistance, resources, or backing for projects occurring within or associated with another entity.
-
C.
supportsProjectType
chosen
Indicates that one entity is capable of handling, accommodating, or being compatible with a specified type of project.
-
D.
supportsContributionModel
Indicates that one entity enables or is compatible with a particular model or framework for making contributions (such as donations, content, or resources).
-
E.
supportsModelingOf
Indicates that one entity provides the capability or functionality needed to represent, simulate, or model another entity or process.
- F. None of above.
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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de902d114881908a8f3c01b3c6d309 |
completed | April 14, 2026, 7:06 p.m. |
| PD | Predicate disambiguation | batch_69de2aa024c48190805df6a9d63deb10 |
completed | April 14, 2026, 11:53 a.m. |
Created at: April 10, 2026, 1:16 a.m.