Triple
T28771900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IDXGIAdapter3 |
E726432
|
entity |
| Predicate | binary |
P48585
|
FINISHED |
| Object | dxgi.dll |
—
|
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: dxgi.dll | Statement: [IDXGIAdapter3, binary, dxgi.dll]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: binary Context triple: [IDXGIAdapter3, binary, dxgi.dll]
-
A.
binarySystem
Indicates a relationship where two entities form a bound pair that interact gravitationally or function together as a coupled system.
-
B.
binaryStandard
Indicates that something conforms to, or is defined according to, a specific binary encoding or representation standard.
-
C.
binaryType
Indicates that something is classified as a binary type, typically distinguishing between two mutually exclusive categories or values.
-
D.
bitstream
Indicates a relationship where data is represented or transmitted as a continuous sequence of bits in a defined order.
-
E.
bitRepresentation
chosen
Indicates that one entity is the binary (bit-level) representation or encoding 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_69f03199997c8190b6ae43fb19312443 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f65a6c900881908f18b61273d7bf8d |
completed | May 2, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69f659ce58408190ba9e007b4810d4d0 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 6:16 a.m.