Triple

T31498495
Position Surface form Disambiguated ID Type / Status
Subject Apple Design Awards 2021 E803611 entity
Predicate hasWinnerInCategory Visuals and Graphics P146095 FINISHED
Object Loóna
Loóna is a visually rich relaxation and sleep-aid app known for its immersive, artful scenes and calming interactive experiences.
E1965333 NE FINISHED

How this triple was built (3 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: Loóna | Statement: [Apple Design Awards 2021, hasWinnerInCategory Visuals and Graphics, Loóna]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Loóna
Triple: [Apple Design Awards 2021, hasWinnerInCategory Visuals and Graphics, Loóna]
Generated description
Loóna is a visually rich relaxation and sleep-aid app known for its immersive, artful scenes and calming interactive experiences.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasWinnerInCategory Visuals and Graphics
Context triple: [Apple Design Awards 2021, hasWinnerInCategory Visuals and Graphics, Loóna]
  • A. hasWinnerInCategory Delight and Fun
    Indicates that an entity has been recognized as a winner specifically in the "Delight and Fun" category.
  • B. categoryWon chosen
    Indicates that an entity has won or received an award, prize, or recognition in a specific category.
  • C. generalClassificationWinner
    Indicates that the subject is the overall winner in the general classification or overall standings of a competition or event.
  • D. artCompetitionsIncluded
    Indicates that certain art competitions are part of, or encompassed within, a specified event, program, or collection.
  • E. visuallyDefines
    Indicates that one entity establishes or clarifies the appearance, form, or visual characteristics of another entity.
  • F. None of above.

Provenance (6 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_69f348cae52081909fa8e5f697523ae3 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6ffbad8848190867c2988c0ceb84f completed May 3, 2026, 7:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b146c736c8190b4822f4493777995 completed June 11, 2026, 8:02 p.m.
NEDg Description generation batch_6a2b19ba8ce0819089abdaf2129604a8 completed June 11, 2026, 8:25 p.m.
NED2 Entity disambiguation (via description) batch_6a2b1ab07e38819091fa098750a8de34 completed June 11, 2026, 8:29 p.m.
PD Predicate disambiguation batch_69f6fc53f4f881908dcc698687bbb64d completed May 3, 2026, 7:42 a.m.
Created at: April 30, 2026, 9:42 p.m.