Triple

T314790
Position Surface form Disambiguated ID Type / Status
Subject Plan Ceibal E7682 entity
Predicate basedOn P98 FINISHED
Object One Laptop per Child initiative E1952 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: One Laptop per Child initiative | Statement: [Plan Ceibal, basedOn, One Laptop per Child initiative]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: One Laptop per Child initiative
Context triple: [Plan Ceibal, basedOn, One Laptop per Child initiative]
  • 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. OLPC OS
    OLPC OS is the specialized Linux-based operating system designed for One Laptop per Child devices, featuring the Sugar learning-focused user interface for children.
  • E. Scratch Foundation
    The Scratch Foundation is the nonprofit organization that supports and advances the Scratch programming language and its global educational community.
  • 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_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_69a3cafef7d48190b00f577488298605 completed March 1, 2026, 5:13 a.m.
Created at: Feb. 28, 2026, 1:07 p.m.