Triple

T5924597
Position Surface form Disambiguated ID Type / Status
Subject Nigel Shadbolt E131774 entity
Predicate coFounded P104 FINISHED
Object Open Data Institute E5094 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: Open Data Institute | Statement: [Nigel Shadbolt, coFounded, Open Data Institute]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Open Data Institute
Context triple: [Nigel Shadbolt, coFounded, Open Data Institute]
  • A. Open Data Institute chosen
    The Open Data Institute is a UK-based non-profit organization that advocates for and supports the use of open data to drive innovation, improve governance, and benefit society.
  • B. Open Data Lab
    Open Data Lab is a World Wide Web Foundation initiative that supports the use of open data to drive social impact, innovation, and better governance, particularly in developing countries.
  • C. School of Data
    School of Data is an educational initiative that helps people and organizations develop practical data literacy and data skills, particularly for civic and social impact.
  • D. Open Knowledge Foundation
    Open Knowledge Foundation is a global nonprofit organization that promotes open data and open knowledge to foster transparency, innovation, and civic engagement.
  • E. Berkeley Institute for Data Science
    The Berkeley Institute for Data Science is an interdisciplinary research and education center at UC Berkeley that advances data-intensive discovery across the sciences, engineering, and the humanities.
  • 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_69c0085a1ed08190a7e9a8b6323fd680 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03852806c81908ba726c16adf3358 completed March 22, 2026, 6:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c0483e3481908e50f8b34b11a878 completed March 23, 2026, 4:23 a.m.
Created at: March 22, 2026, 4 p.m.