Triple

T7897925
Position Surface form Disambiguated ID Type / Status
Subject gRPC E183379 entity
Predicate usesIDL P11686 FINISHED
Object Protocol Buffers E208079 NE FINISHED

How this triple was built (3 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: [gRPC, usesIDL, Protocol Buffers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Protocol Buffers
Context triple: [gRPC, usesIDL, 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. 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.
  • E. Apache Thrift
    Apache Thrift is an open-source software framework for scalable cross-language services development, providing an interface definition language and code generation for efficient RPC and data serialization across multiple programming languages.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: usesIDL
Context triple: [gRPC, usesIDL, Protocol Buffers]
  • A. usesInterface chosen
    Indicates that one entity interacts with or operates another entity through a specified interface or set of interface methods.
  • B. definesUseOf
    Indicates that one entity specifies or determines how another entity is to be used or applied.
  • C. usesImplement
    Indicates that one entity employs or makes use of another entity as a tool, instrument, or means to perform an action or achieve a purpose.
  • D. usedInInterface
    Indicates that something is employed or incorporated as a component or element within a user interface.
  • E. usesIPC
    Indicates that one entity communicates or exchanges data with another entity through inter-process communication (IPC) mechanisms.
  • F. None of above.

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_69ca828d13088190b222be7aa9f9315c completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a296db8819084c620b12f77acb5 completed March 31, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc562c6e188190adbdf99479170920 completed March 31, 2026, 11:18 p.m.
PD Predicate disambiguation batch_69cae92d94448190b4425bbfb64c658c completed March 30, 2026, 9:20 p.m.
Created at: March 30, 2026, 5:01 p.m.