Triple

T1717978
Position Surface form Disambiguated ID Type / Status
Subject MIPS E37330 entity
Predicate pipelineFeature P28421 FINISHED
Object fixed-length pipeline stages LITERAL 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: fixed-length pipeline stages | Statement: [MIPS, pipelineFeature, fixed-length pipeline stages]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: pipelineFeature
Context triple: [MIPS, pipelineFeature, fixed-length pipeline stages]
  • A. pipeline chosen
    Indicates a sequential process or workflow where the output of one stage is passed as input to the next to achieve a final result.
  • B. passesFeature
    Indicates that one entity successfully satisfies, verifies, or meets the criteria of a specified feature or test condition associated with another entity.
  • C. processFeature
    Indicates that an entity performs or undergoes an operation that handles, transforms, or otherwise acts upon a specific feature.
  • D. technologicalFeature
    Indicates that one entity possesses, exhibits, or is characterized by a specific technological capability, component, or functionality in relation to another entity.
  • E. preservesFeature
    Indicates that one entity maintains or keeps intact a particular feature, property, or characteristic of another entity during some process or interaction.
  • F. None of above.

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_69a8861912dc8190931af43b4b9158a7 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69ab5c96db6c8190a745d6fef7bf2cdb completed March 6, 2026, 11 p.m.
PD Predicate disambiguation batch_69aa61bed2fc819086d912cd34285978 completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:30 p.m.