Triple
T18178547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ONNX |
E435223
|
entity |
| Predicate | serializationFormat |
P1444
|
FINISHED |
| Object | Protocol Buffers |
—
|
NE NERFINISHED |
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: Protocol Buffers | Statement: [ONNX, serializationFormat, Protocol Buffers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Protocol Buffers Context triple: [ONNX, serializationFormat, Protocol Buffers]
-
A.
Protocol Buffers
chosen
Protocol Buffers is a language-neutral, platform-neutral mechanism developed by Google for efficiently serializing structured data, commonly used for communication protocols and data storage.
-
B.
gRPC
gRPC is a high-performance, open-source remote procedure call (RPC) framework developed by Google that uses HTTP/2 and protocol buffers to enable efficient, language-agnostic communication between services.
-
C.
MessagePack
MessagePack is a compact, efficient binary serialization format designed to encode structured data for fast transmission and storage across different programming languages.
-
D.
Apache Avro
Apache Avro is a data serialization system and file format in the Apache Hadoop ecosystem that provides compact, fast, binary data encoding with rich schema support and dynamic typing.
-
E.
FlatBuffers
FlatBuffers is an efficient cross-platform serialization library from Google designed for fast, memory-efficient data access without an unpacking step, commonly used in games, mobile, and high-performance services.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4df5b68f081908aac8210270f1499 |
completed | April 19, 2026, 1:57 p.m. |
Created at: April 10, 2026, 10:31 a.m.