Triple
T892359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 10GBASE-LR |
E19267
|
entity |
| Predicate | physicalMediumDependentSubtype |
P20766
|
FINISHED |
| Object | LR |
—
|
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: LR | Statement: [10GBASE-LR, physicalMediumDependentSubtype, LR]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: physicalMediumDependentSubtype Context triple: [10GBASE-LR, physicalMediumDependentSubtype, LR]
-
A.
subunitType
Indicates that one entity is a specific kind or classification of subunit within the structure or composition of another entity.
-
B.
mediaType
Indicates the format or category of media associated with an entity, such as text, image, audio, or video.
-
C.
partBType
Indicates that one entity is classified as the type or category to which the second entity (part B) belongs.
-
D.
pegType
Indicates the specific category or kind of peg associated with or assigned to an entity.
-
E.
primaryMemoryType
Indicates the main or dominant type of memory associated with or used by an entity in a given context.
- 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_69a4939d37188190848be3d426ebc9ae |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad0304b081908d4c92bb2beadb81 |
completed | March 1, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69a4aa9372e88190b5a9db4afdc045c6 |
completed | March 1, 2026, 9:07 p.m. |
| PDg | Predicate description generation | batch_69a4ab4a38ec8190915916d80299ab55 |
completed | March 1, 2026, 9:10 p.m. |
Created at: March 1, 2026, 7:39 p.m.