Triple

T8611626
Position Surface form Disambiguated ID Type / Status
Subject Scratch API E203925 entity
Predicate developer P73 FINISHED
Object Scratch Team E40788 NE 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: Scratch Team | Statement: [Scratch API, developer, Scratch Team]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scratch Team
Context triple: [Scratch API, developer, Scratch Team]
  • A. Scratch Team chosen
    Scratch Team is the official group responsible for developing and maintaining the Scratch programming platform and its related tools and extensions.
  • B. Scratch Foundation
    The Scratch Foundation is the nonprofit organization that supports and advances the Scratch programming language and its global educational community.
  • C. Scratch
    Scratch is one of the University of Kentucky’s costumed wildcat mascots who entertains crowds and represents the school at athletic events and community activities.
  • D. ScratchJr
    ScratchJr is a simplified, block-based visual programming language and app designed to introduce young children to coding and computational thinking through interactive stories and games.
  • E. Scratch programming language
    Scratch programming language is a visual, block-based coding environment designed primarily for children and beginners to learn programming concepts through creating interactive stories, games, and animations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca832c23e4819095a9f3eea4a21828 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46fc31e08190aab5ab8f92f3315c completed March 31, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea91456a88190a7416b0f1a0327d6 completed April 2, 2026, 5:36 p.m.
Created at: March 30, 2026, 6:25 p.m.