Triple

T2805394
Position Surface form Disambiguated ID Type / Status
Subject Sébastien Jodogne E54040 entity
Predicate softwareDevelopmentFocus P37802 FINISHED
Object medical imaging 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: medical imaging | Statement: [Sébastien Jodogne, softwareDevelopmentFocus, medical imaging]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: softwareDevelopmentFocus
Context triple: [Sébastien Jodogne, softwareDevelopmentFocus, medical imaging]
  • A. programmingFocus
    Indicates a relationship where an entity’s primary attention, effort, or specialization is directed toward a particular area or aspect of programming.
  • B. softwareDomain chosen
    Indicates that something belongs to, operates within, or is associated with a particular area or field of software.
  • C. programFocus
    Indicates that an educational or training program is primarily oriented around or concentrated on a particular subject, theme, or objective.
  • D. hasProgrammingFocus
    Indicates that something is centered on, specialized in, or primarily concerned with programming.
  • E. developmentRole
    Indicates that an entity participates in the creation, design, or production of another entity in a specific developmental capacity or function.
  • 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_69ab49dcee188190b5c6eca9ae9e3469 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde2ec2ac8190bd702ad3eafb6aed completed March 7, 2026, 8:13 a.m.
PD Predicate disambiguation batch_69abdd059f308190853191f6ffe2bc6f completed March 7, 2026, 8:08 a.m.
Created at: March 6, 2026, 9:59 p.m.