Triple

T145910
Position Surface form Disambiguated ID Type / Status
Subject Strategic Computing Initiative E3328 entity
Predicate technologyArea P1485 FINISHED
Object software engineering 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: software engineering | Statement: [Strategic Computing Initiative, technologyArea, software engineering]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: technologyArea
Context triple: [Strategic Computing Initiative, technologyArea, software engineering]
  • A. technologyType
    Indicates the specific kind or category of technology associated with an entity or relationship.
  • B. technologyLevel
    Indicates the degree of technological advancement or sophistication associated with an entity relative to others or to a defined scale.
  • C. technologyParadigm
    Indicates a relationship where one entity represents or defines the overarching technological model, framework, or approach within which another entity operates or is categorized.
  • D. hasAdvancedTechnologySector
    Indicates that an entity possesses or includes a developed sector focused on advanced or high-tech industries, products, or services.
  • E. associatedWithTechnology chosen
    Indicates a relationship where an entity is connected to, involved with, or utilizes a particular technology.
  • 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_69a252868de4819080e21c9938bfe8b6 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a257ea7eac8190884a53453a9e0dd6 completed Feb. 28, 2026, 2:50 a.m.
PD Predicate disambiguation batch_69a25656a4fc81908a87678ac3d28f93 completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.