Triple
T1610927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NuGet |
E34611
|
entity |
| Predicate | supportsTargetFrameworkMonikers |
P30253
|
FINISHED |
| Object | TFM |
—
|
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: TFM | Statement: [NuGet, supportsTargetFrameworkMonikers, TFM]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsTargetFrameworkMonikers Context triple: [NuGet, supportsTargetFrameworkMonikers, TFM]
-
A.
supportsTargetType
Indicates that one entity is capable of operating with, handling, or being compatible with a specified target type.
-
B.
supportedPlatform
Indicates that one entity (such as a system, application, or service) is compatible with and can operate on a particular platform.
-
C.
supportedSystem
Indicates that one entity provides compatibility, functionality, or operational support for another system.
-
D.
isSupportedBy
Indicates that an entity is upheld, sustained, or enabled by another entity, which provides necessary assistance, resources, or justification.
-
E.
currentFrameworkBasedOn
Indicates that the current framework is derived from, built upon, or structured according to another underlying framework.
- F. None of above. chosen
Provenance (4 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_69a885ffc5ec819091afa325d5f9611c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a93fa6926081908bc78d15c0be3185 |
completed | March 5, 2026, 8:32 a.m. |
| PD | Predicate disambiguation | batch_69a907c35f848190a2428c52e81d013e |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a93fa5aa04819084d1154ef900303f |
completed | March 5, 2026, 8:32 a.m. |
Created at: March 4, 2026, 7:28 p.m.