Triple
T2447707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fibre Channel |
E53631
|
entity |
| Predicate | frameSize |
P39914
|
FINISHED |
| Object | 2148 bytes maximum |
—
|
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: 2148 bytes maximum | Statement: [Fibre Channel, frameSize, 2148 bytes maximum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frameSize Context triple: [Fibre Channel, frameSize, 2148 bytes maximum]
-
A.
inputFrameSize
Indicates the size or dimensions of the input frame used or processed in a given context.
-
B.
frameType
Indicates the specific structural or categorical kind of frame associated with an entity or relation.
-
C.
minimumFrameSize
Indicates the smallest allowable or supported size of a frame in the given context or system.
-
D.
fieldSize
Indicates the magnitude or dimensions of a field associated with an entity or context.
-
E.
frameDevice
Indicates that one entity serves as a structural or supporting frame for another device or object.
- 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_69ab495d227c8190b26ae6548eeb1019 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd2bc7b5481908b3664495e99f1a4 |
completed | March 7, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69abd0aed2688190a18fe66b98d80e0b |
completed | March 7, 2026, 7:15 a.m. |
| PDg | Predicate description generation | batch_69abd2baee308190bdaa41ef1f6bc9cc |
completed | March 7, 2026, 7:24 a.m. |
Created at: March 6, 2026, 9:43 p.m.