Triple

T15313862
Position Surface form Disambiguated ID Type / Status
Subject Caffe E366103 entity
Predicate configurationFormat P130 FINISHED
Object Protobuf E208079 NE 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: Protobuf | Statement: [Caffe, configurationFormat, Protobuf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Protobuf
Context triple: [Caffe, configurationFormat, Protobuf]
  • 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. 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.
  • D. MessagePack
    MessagePack is a compact, efficient binary serialization format designed to encode structured data for fast transmission and storage across different programming languages.
  • 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.

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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03dd050108190a584543cb93943a4 completed April 16, 2026, 1:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef8a3da3881909b50cfbec0543adc completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 3:16 a.m.