Triple

T314660
Position Surface form Disambiguated ID Type / Status
Subject Sugar E7680 entity
Predicate originallyDevelopedFor P11902 FINISHED
Object One Laptop per Child project E1952 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: One Laptop per Child project | Statement: [Sugar, originallyDevelopedFor, One Laptop per Child project]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: One Laptop per Child project
Context triple: [Sugar, originallyDevelopedFor, One Laptop per Child project]
  • A. One Laptop per Child chosen
    One Laptop per Child is an educational nonprofit initiative that aimed to provide low-cost, durable laptops to children in developing countries to support digital learning and bridge the global digital divide.
  • B. Plan Ceibal in Uruguay
    Plan Ceibal in Uruguay is a nationwide educational initiative that provides students and teachers with laptops and digital resources to promote digital inclusion and improve public education.
  • C. Project 211
    Project 211 is a Chinese government initiative launched to strengthen about 100 key universities and colleges in the 21st century by prioritizing them for additional funding and development.
  • D. Scratch Foundation
    The Scratch Foundation is the nonprofit organization that supports and advances the Scratch programming language and its global educational community.
  • E. The George Lucas Educational Foundation
    The George Lucas Educational Foundation is a nonprofit organization dedicated to improving K–12 education through innovative teaching strategies, research, and the sharing of best practices, best known for its Edutopia platform.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: originallyDevelopedFor
Context triple: [Sugar, originallyDevelopedFor, One Laptop per Child project]
  • A. developedAs
    Indicates that one entity was created, designed, or evolved specifically to function as or replace another entity.
  • B. developedUnder
    Indicates that something was created, produced, or brought into existence while being subject to the authority, guidance, or conditions imposed by a particular person, organization, regime, or framework.
  • C. developedFrom
    Indicates that one entity originates, evolves, or is derived from another as its source or precursor.
  • D. developedUnderAuspicesOf
    Indicates that something was developed under the sponsorship, guidance, or official authority of a particular organization or entity.
  • E. developedAt
    Indicates the place or location where something was created, built, or developed.
  • F. None of above. chosen

Provenance (5 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_69a2e7e7af7881908890039d6be4e9b8 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ea62f830819089e94b3aa3e4e187 completed Feb. 28, 2026, 1:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3c41a499081909b5aa82432daf96d completed March 1, 2026, 4:44 a.m.
PD Predicate disambiguation batch_69a2e9428098819089d5950cd2c96dc4 completed Feb. 28, 2026, 1:10 p.m.
PDg Predicate description generation batch_69a2ea08878c8190a5e8a90f620a3888 completed Feb. 28, 2026, 1:13 p.m.
Created at: Feb. 28, 2026, 1:07 p.m.