Triple
T10371867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ReadableStreamBYOBRequest |
E244401
|
entity |
| Predicate | bufferOwnershipModel |
P93637
|
FINISHED |
| Object | consumer-provided buffer |
—
|
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: consumer-provided buffer | Statement: [ReadableStreamBYOBRequest, bufferOwnershipModel, consumer-provided buffer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bufferOwnershipModel Context triple: [ReadableStreamBYOBRequest, bufferOwnershipModel, consumer-provided buffer]
-
A.
memoryModel
Indicates a relationship where an entity serves as or uses a specific model or framework for representing, organizing, or managing memory.
-
B.
bufferZone
Indicates the existence of an area or region that serves as a protective or separating space between two or more entities or activities.
-
C.
memoryRegion
Indicates a relationship where one entity represents or refers to a specific region or segment within a larger memory space.
-
D.
privateOwnershipShare
Indicates the proportion or share of ownership in an entity that is held by private (non-governmental) owners.
-
E.
blockAllocationStrategy
Indicates how blocks are chosen, sized, or arranged when allocating storage or memory resources.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e97ed09c8190a3627aa7b5eea62f |
completed | April 7, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69d4dface5508190a7b42f01ad0a19a2 |
completed | April 7, 2026, 10:42 a.m. |
| PDg | Predicate description generation | batch_69d4e944fac4819093b0312aa0efd729 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 12:01 p.m.