Triple
T825400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flask |
E17841
|
entity |
| Predicate | supportsBlueprintBasedModularity |
P203
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Flask, supportsBlueprintBasedModularity, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsBlueprintBasedModularity Context triple: [Flask, supportsBlueprintBasedModularity, true]
-
A.
includesModuleProvider
Indicates that one entity contains or makes use of another entity that serves as a provider of a specific module or modular functionality.
-
B.
supportsImplementationOf
Indicates that one entity provides the necessary resources, framework, or assistance for another entity to be carried out, realized, or put into practice.
-
C.
supportedParadigm
Indicates that one entity (such as a tool, language, or system) provides functionality or features that enable or are compatible with a particular paradigm or methodological approach.
-
D.
supportsFeature
chosen
Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
-
E.
hasModuleConstruct
Indicates that an entity includes, defines, or is composed of a specific module as one of its structural or functional components.
- 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_69a4937c9c188190aaa216f6b466f452 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ab7eb0a08190889463edb0e7bd59 |
completed | March 1, 2026, 9:11 p.m. |
| PD | Predicate disambiguation | batch_69a4aa781e1081909df006f730296c53 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:38 p.m.