Triple
T27636909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FlatBuffers |
E696494
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | serialization library |
C25022
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: serialization library Context triple: [FlatBuffers, instanceOf, serialization library]
-
A.
deserialization library
A deserialization library is a software component that converts serialized data formats (such as JSON, XML, or binary) back into in-memory objects or data structures in a target programming language.
-
B.
data serialization language
chosen
A data serialization language is a formal notation used to structure, encode, and represent data so it can be stored or transmitted and later reconstructed consistently across different systems.
-
C.
literary serialization
Literary serialization is the practice of publishing a written work in sequential installments, often in periodicals, to build suspense, maintain reader interest, and sometimes shape the story in response to audience feedback.
-
D.
serial
A serial is a conceptual class representing an ordered sequence of related items or events, typically identified by a common theme and distinguished by their position in the sequence.
-
E.
binary format specification
A binary format specification precisely defines the structure, encoding rules, and interpretation of data represented in a non-textual, bit-level format for storage or transmission.
- F. None of above.
Provenance (1 batch)
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_69ef5909f3848190805f35b76833e722 |
completed | April 27, 2026, 12:39 p.m. |
Created at: April 27, 2026, 2:24 p.m.