Triple

T7897882
Position Surface form Disambiguated ID Type / Status
Subject gRPC E183379 entity
Predicate defaultSerializationFormat P77670 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, defaultSerializationFormat, Protocol Buffers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Protocol Buffers
Context triple: [gRPC, defaultSerializationFormat, 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 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.
  • E. Apache Parquet
    Apache Parquet is a columnar storage file format optimized for efficient data compression and query performance in big data processing frameworks such as Apache Hadoop and Apache Spark.
  • 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: defaultSerializationFormat
Context triple: [gRPC, defaultSerializationFormat, Protocol Buffers]
  • A. serializationFormatFor
    Indicates the data serialization format used to encode or represent a given resource or entity.
  • B. originalSerialization
    Indicates that one entity is the initial or source serialized form from which another serialized representation is derived.
  • C. primarySerialization chosen
    Indicates that one representation or format of an entity is designated as its main or default form for storage, transmission, or processing.
  • D. defaultPackageFormat
    Indicates the standard or primary packaging format that is used by default for an item or distribution.
  • E. serializationStyle
    Indicates how data is formatted, structured, and encoded when being converted to or from a serialized representation.
  • 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_69cb5bb719a08190a0545a361f559bf7 completed March 31, 2026, 5:29 a.m.
PD Predicate disambiguation batch_69cae92d94448190b4425bbfb64c658c completed March 30, 2026, 9:20 p.m.
Created at: March 30, 2026, 5:01 p.m.