Triple

T4277713
Position Surface form Disambiguated ID Type / Status
Subject TkAgg E97081 entity
Predicate rendersTo P37806 FINISHED
Object raster graphics 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: raster graphics | Statement: [TkAgg, rendersTo, raster graphics]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: rendersTo
Context triple: [TkAgg, rendersTo, raster graphics]
  • A. renders chosen
    Indicates that one entity produces, generates, or visually presents another entity, often by transforming data or instructions into a final displayed or usable form.
  • B. renderedBy
    Indicates that something is produced, drawn, or visually generated by a particular agent, tool, or process.
  • C. renderedUnder
    Indicates that one entity was produced, displayed, or executed within the authority, context, or environment provided by another entity.
  • D. representedTo
    Indicates that one entity formally acted on behalf of or served as the representative of another entity in a given context or interaction.
  • E. producesFor
    Indicates that one entity creates, manufactures, or generates something specifically intended for another entity’s use, benefit, or distribution.
  • 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_69b34544be3c819084d1ab82d29f90c5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3501ef1388190b0c968b069014a59 completed March 12, 2026, 11:45 p.m.
PD Predicate disambiguation batch_69b347faa45481908c19c29fb906dc92 completed March 12, 2026, 11:10 p.m.
Created at: March 12, 2026, 11:07 p.m.