Triple

T19352160
Position Surface form Disambiguated ID Type / Status
Subject Gerald Combs E484048 entity
Predicate softwareEngineeringDiscipline P37802 FINISHED
Object network software 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: network software | Statement: [Gerald Combs, softwareEngineeringDiscipline, network software]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: softwareEngineeringDiscipline
Context triple: [Gerald Combs, softwareEngineeringDiscipline, network software]
  • A. softwareDomain chosen
    Indicates that something belongs to, operates within, or is associated with a particular area or field of software.
  • B. programmingEvolution
    Indicates how programming practices, languages, or paradigms change and develop over time.
  • C. programming
    Indicates that an entity writes, develops, or modifies software or code, typically using a programming language to create or control computer programs.
  • D. engineeringStandard
    Indicates that something conforms to, is defined by, or is governed by a specified engineering standard or set of technical norms.
  • E. treatsProgrammingAs
    Indicates viewing or regarding programming in a particular way, such as as a hobby, a job, an art, or a tool.
  • 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_69d8e8d244f8819080eb1f3491300db2 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e61905b16881909ab0e932bb9a0cda completed April 20, 2026, 12:16 p.m.
PD Predicate disambiguation batch_69e4dd13a8cc81909cd02668564c9f29 completed April 19, 2026, 1:48 p.m.
Created at: April 10, 2026, 1:34 p.m.