Triple

T25602581
Position Surface form Disambiguated ID Type / Status
Subject Reed–Solomon codes E641825 entity
Predicate decodingAlgorithmsInclude P14388 FINISHED
Object Sugiyama algorithm
The Sugiyama algorithm is a method for decoding Reed–Solomon error-correcting codes by efficiently locating and correcting symbol errors in transmitted data.
 E1686256 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: Sugiyama algorithm | Statement: [Reed–Solomon codes, decodingAlgorithmsInclude, Sugiyama algorithm]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sugiyama algorithm
Triple: [Reed–Solomon codes, decodingAlgorithmsInclude, Sugiyama algorithm]
Generated description
The Sugiyama algorithm is a method for decoding Reed–Solomon error-correcting codes by efficiently locating and correcting symbol errors in transmitted data.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: decodingAlgorithmsInclude
Context triple: [Reed–Solomon codes, decodingAlgorithmsInclude, Sugiyama algorithm]
  • A. decodingMethod chosen
    Indicates the technique or process used to convert encoded or encrypted data back into its original, interpretable form.
  • B. openSourceDecoder
    Indicates that the decoder component is released as open-source software, allowing public access, use, modification, and distribution of its source code.
  • C. coDecipherer
    Indicates that two or more entities jointly participated in deciphering or decoding something together.
  • D. usesCodec
    Indicates that one entity employs or relies on a specific codec to encode, decode, or process data.
  • E. deciphers
    Indicates the action of successfully interpreting or figuring out the meaning of something that is difficult to understand or encoded.
  • F. None of above.

Provenance (6 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_69e75dc6ccf081908d49578fd36a76d5 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f9a7d7d881909014fdf3746f981b completed May 2, 2026, 1:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10b772c92481909ec1a4202792eb35 completed May 22, 2026, 8:07 p.m.
NEDg Description generation batch_6a10b8265e8c8190817bca20ada4c82a completed May 22, 2026, 8:10 p.m.
NED2 Entity disambiguation (via description) batch_6a10b96e57f081908a75a191ce7bafce completed May 22, 2026, 8:15 p.m.
PD Predicate disambiguation batch_69f4a0f7c6008190ae8cee3e71e19b94 completed May 1, 2026, 12:47 p.m.
Created at: April 21, 2026, 4:36 p.m.