Triple
T26378882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hexagon NN library |
E660969
|
entity |
| Predicate | supportsModelImportFrom |
P60286
|
FINISHED |
| Object | TensorFlow via conversion tools |
—
|
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: TensorFlow via conversion tools | Statement: [Hexagon NN library, supportsModelImportFrom, TensorFlow via conversion tools]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsModelImportFrom Context triple: [Hexagon NN library, supportsModelImportFrom, TensorFlow via conversion tools]
-
A.
supportsModelType
Indicates that an entity is compatible with, or can operate using, a specified model type.
-
B.
supportsExtensionModel
Indicates that one entity provides compatibility or functionality for using a specified extension model associated with another entity.
-
C.
supportsImportExport
chosen
Indicates that one entity provides functionality for importing and exporting data or resources to and from another entity.
-
D.
supportedModel
Indicates that one entity provides compatibility with, or operational backing for, a particular model.
-
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_69ee812a698881908d6a58265995fa39 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69fe7bfc94bc81909eeec946e8c1c450 |
completed | May 9, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69fe7b74a1188190886f128e07f712da |
completed | May 9, 2026, 12:10 a.m. |
Created at: April 26, 2026, 11:03 p.m.