Triple

T14421970
Position Surface form Disambiguated ID Type / Status
Subject Super Stickers E357604 entity
Predicate digitalNature P114202 FINISHED
Object non-physical good 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: non-physical good | Statement: [Super Stickers, digitalNature, non-physical good]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: digitalNature
Context triple: [Super Stickers, digitalNature, non-physical good]
  • A. covertNature
    Indicates that the relationship or action is carried out in a hidden, secretive, or clandestine manner, not meant to be openly observed or acknowledged.
  • B. hasNature
    Indicates that something possesses, exhibits, or is characterized by a particular inherent quality, essence, or fundamental type.
  • C. codeNature
    Indicates that one entity characterizes or specifies the type, category, or inherent nature of another entity, often in a coded or standardized form.
  • D. viewOnNature
    Indicates a person's general attitude, perspective, or philosophy regarding nature and the natural environment.
  • E. sharesNatureWith
    Indicates that two entities possess the same fundamental characteristics, qualities, or essence.
  • F. None of above. chosen

Provenance (4 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91102c3c81908f571a1fff3bdd47 completed April 14, 2026, 7:10 p.m.
PD Predicate disambiguation batch_69de5c30467881908e770e3940295641 completed April 14, 2026, 3:24 p.m.
PDg Predicate description generation batch_69de5fb4de14819092acdecbd201d672 completed April 14, 2026, 3:39 p.m.
Created at: April 10, 2026, 1:18 a.m.