Triple

T38644868
Position Surface form Disambiguated ID Type / Status
Subject Medic E938688 entity
Predicate techForAbility P162019 FINISHED
Object Restoration research at Academy 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: Restoration research at Academy | Statement: [Medic, techForAbility, Restoration research at Academy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: techForAbility
Context triple: [Medic, techForAbility, Restoration research at Academy]
  • A. technologyEnabled chosen
    Indicates that one entity provides or supports the technological means that allow another entity, process, or capability to function or be carried out.
  • B. abilityAsAI
    Indicates that an entity possesses a particular capability or competence specifically in its role or nature as an artificial intelligence.
  • C. accessTechnology
    Indicates that one entity uses, supports, or is connected via a particular communication or network access technology.
  • 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. enablesTechnology
    Indicates that one entity makes it possible for another entity, system, or process to function through the use or provision of 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_69f76ed948ec81908ce7811608a8f359 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcdb0de8c08190928cd1323f80ab5c completed May 7, 2026, 6:33 p.m.
PD Predicate disambiguation batch_69fcd9017dd88190b32a73fe78909740 completed May 7, 2026, 6:25 p.m.
Created at: May 3, 2026, 4:32 p.m.