Triple

T4269880
Position Surface form Disambiguated ID Type / Status
Subject Real Tone E96914 entity
Predicate developedUsing P12687 FINISHED
Object diverse image datasets 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: diverse image datasets | Statement: [Real Tone, developedUsing, diverse image datasets]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: developedUsing
Context triple: [Real Tone, developedUsing, diverse image datasets]
  • A. developedWith chosen
    Indicates that something was created, built, or produced using a specified tool, technology, method, or collaborator.
  • B. developedAs
    Indicates that one entity was created, designed, or evolved specifically to function as or replace another entity.
  • C. developedOn
    Indicates that something was created, built, or produced using a particular platform, technology, or environment.
  • D. developedUnder
    Indicates that something was created, produced, or brought into existence while being subject to the authority, guidance, or conditions imposed by a particular person, organization, regime, or framework.
  • E. developedPrimarilyIn
    Indicates that something was mainly created, advanced, or brought into its primary form within a particular context, place, or domain, even if contributions occurred elsewhere.
  • 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_69b34543f06c8190915ebb1a4574ffa9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34ffa30c08190913622ffec47d33d completed March 12, 2026, 11:44 p.m.
PD Predicate disambiguation batch_69b347faa45481908c19c29fb906dc92 completed March 12, 2026, 11:10 p.m.
Created at: March 12, 2026, 11:07 p.m.