Triple

T34955734
Position Surface form Disambiguated ID Type / Status
Subject Remacs E1008117 entity
Predicate softwareEngineeringGoal P49728 FINISHED
Object refactor legacy C codebase 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: refactor legacy C codebase | Statement: [Remacs, softwareEngineeringGoal, refactor legacy C codebase]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: softwareEngineeringGoal
Context triple: [Remacs, softwareEngineeringGoal, refactor legacy C codebase]
  • A. engineeringGoal chosen
    Indicates that an entity has a specific engineering-related objective, target, or desired outcome it is intended to achieve or support.
  • B. softwareEngine
    Indicates that an entity functions as a software engine, i.e., a core computational or processing component that drives or powers software operations for another entity.
  • C. appliesToDesignGoal
    Indicates that something (such as a method, rule, or constraint) is relevant or intended to be used for achieving a particular design goal.
  • D. hasNonFunctionalGoal
    Indicates that an entity is associated with a goal describing quality or performance constraints rather than specific functional behavior.
  • E. standardizationGoal
    Indicates the intended level, outcome, or target state to be achieved through a process of standardization.
  • 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_69f76dc69564819099e9e78aed6ff0a6 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78fd5a6388190bfda4bbb2e222e5b completed May 3, 2026, 6:11 p.m.
PD Predicate disambiguation batch_69f78e2ac3fc819081a45c6841375c8d completed May 3, 2026, 6:04 p.m.
Created at: May 3, 2026, 4 p.m.