Triple

T13069845
Position Surface form Disambiguated ID Type / Status
Subject G22 E329426 entity
Predicate designUpdate P3336 FINISHED
Object distinctive front-end styling compared to predecessor 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: distinctive front-end styling compared to predecessor | Statement: [G22, designUpdate, distinctive front-end styling compared to predecessor]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: designUpdate
Context triple: [G22, designUpdate, distinctive front-end styling compared to predecessor]
  • A. designUse
    Indicates that one entity is used as a design basis, purpose, or intended functional use for another entity.
  • B. designVariant
    Indicates that one entity is an alternative design or version derived from or related to another entity’s design.
  • C. hasDesignChange
    Indicates that an entity has undergone a modification or alteration to its original design.
  • D. designLead
    Indicates that one entity serves as the primary designer or person in charge of leading the design work for another entity or project.
  • E. redesigned chosen
    Indicates that an entity has been modified or created anew in terms of its structure, appearance, or functionality, replacing a previous design.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980ee6130819095d835e7ff6a8c5b completed April 10, 2026, 10:59 p.m.
PD Predicate disambiguation batch_69d9803d46688190bac6b7d208f08d01 completed April 10, 2026, 10:57 p.m.
Created at: April 9, 2026, 9 p.m.