Triple
T20978334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MIES |
E516684
|
entity |
| Predicate | isLinkLayerAgnostic |
P35571
|
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: [MIES, isLinkLayerAgnostic, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLinkLayerAgnostic Context triple: [MIES, isLinkLayerAgnostic, true]
-
A.
linkLayer
Indicates a relationship where one entity is connected to another at the data link (Layer 2) level of a network stack, enabling direct frame-level communication between them.
-
B.
supportsLinkAggregation
Indicates that one entity provides or is compatible with link aggregation capabilities for combining multiple network connections into a single logical link.
-
C.
networkLayerIndependence
chosen
Indicates that the relationship or action remains valid and unaffected regardless of the underlying network layer or transport mechanism used.
-
D.
usesPhysicalLayerSimilarTo
Indicates that one entity employs a physical layer that is similar in structure, technology, or operational characteristics to that used by another entity.
-
E.
hasBridgeLayer
Indicates that one entity includes or is associated with a specific bridge layer within its structure or configuration.
- 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_69e0b4fee5ac8190875fa9ceba1a5e5e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fba65b0881908bc00981053edb68 |
completed | April 21, 2026, 4:23 a.m. |
| PD | Predicate disambiguation | batch_69e5dbe6976081908abd4e9c8734bae9 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 1:47 p.m.