Triple

T5501529
Position Surface form Disambiguated ID Type / Status
Subject Hit Refresh E144338 entity
Predicate mentionsTechnology P46854 FINISHED
Object artificial intelligence 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: artificial intelligence | Statement: [Hit Refresh, mentionsTechnology, artificial intelligence]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mentionsTechnology
Context triple: [Hit Refresh, mentionsTechnology, artificial intelligence]
  • A. technologyUsedIn
    Indicates that a particular technology is employed or applied within a specific process, product, context, or domain.
  • B. technologyUse
    Indicates the use or application of a particular technology by an entity to perform an action or achieve a purpose.
  • C. associatedWithTechnology
    Indicates a relationship where an entity is connected to, involved with, or utilizes a particular technology.
  • D. technologyDiscussed chosen
    Indicates that a conversation, text, or interaction includes discussion or mention of a particular technology.
  • E. technologyBasis
    Indicates that one entity is founded on, enabled by, or fundamentally relies upon the technology provided or represented by another entity.
  • 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_69c008f5a2748190bce7a39aabf87a6d completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f0a512c81908f077378917e5879 completed March 22, 2026, 4:55 p.m.
PD Predicate disambiguation batch_69c01b052f3c81909f71c6add0f35a6f completed March 22, 2026, 4:38 p.m.
Created at: March 22, 2026, 3:32 p.m.