Triple
T30802133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quark microkernel |
E784398
|
entity |
| Predicate | abstractionOf |
P59095
|
FINISHED |
| Object | underlying hardware resources |
—
|
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: underlying hardware resources | Statement: [Quark microkernel, abstractionOf, underlying hardware resources]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: abstractionOf Context triple: [Quark microkernel, abstractionOf, underlying hardware resources]
-
A.
abstraction
Indicates that one entity represents a generalized concept, idea, or quality derived from another, more specific entity or set of entities.
-
B.
usesAbstraction
Indicates that one entity employs or relies on an abstract representation or interface of another entity rather than interacting with its concrete implementation directly.
-
C.
primaryAbstraction
Indicates that one entity serves as the main conceptual generalization or core abstract representation of another entity.
-
D.
includesAbstract
Indicates that one entity contains or incorporates the abstract or summary section of another entity.
-
E.
providesAbstraction
chosen
Indicates that one entity offers a higher-level, simplified interface or conceptual layer that hides the underlying complexity of another entity.
- 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_69f224b3a7ec819096939414d103e31e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6903b80208190a98e2ca20c05fe70 |
completed | May 3, 2026, midnight |
| PD | Predicate disambiguation | batch_69f68b7d2794819092fef8a63f4f3de8 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:42 p.m.