Triple

T1040754
Position Surface form Disambiguated ID Type / Status
Subject OKFN E22463 entity
Predicate notableProject P4 FINISHED
Object CKAN E120229 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: CKAN | Statement: [OKFN, notableProject, CKAN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CKAN
Context triple: [OKFN, notableProject, CKAN]
  • A. CKAN chosen
    CKAN is an open-source data management system widely used by governments and organizations to publish, catalog, and share open data.
  • B. Open Data Index
    Open Data Index is a global initiative that evaluates and ranks the openness and accessibility of government data across countries.
  • C. 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.
  • 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. Open Knowledge Network
    Open Knowledge Network is a collaborative initiative and platform that connects people, data, and tools to promote the creation, sharing, and use of open knowledge worldwide.
  • 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_69a493d91478819094cc01fb65564bc1 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b82e4d2c81909ca1264852baf04d completed March 1, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4c18692c819092e1045199053a39 completed March 7, 2026, 4:02 p.m.
Created at: March 1, 2026, 7:41 p.m.