Triple

T4420899
Position Surface form Disambiguated ID Type / Status
Subject Humanitarian Data Exchange E95093 entity
Predicate softwareStack P10387 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: [Humanitarian Data Exchange, softwareStack, CKAN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CKAN
Context triple: [Humanitarian Data Exchange, softwareStack, 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. ONS Open Geography portal
    The ONS Open Geography portal is an online platform providing access to official UK geographic data, boundaries, and related statistical geospatial resources published by the Office for National Statistics.
  • D. Dataverse
    Dataverse is Microsoft's cloud-based data platform that securely stores, manages, and structures business data for use across Power Platform applications and services.
  • E. 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.
  • 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_69b3453a36908190b95a79a297ca083c completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35521e020819099e72b9e2ccbd36d completed March 13, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5f62715748190abceb14396ad637d completed March 14, 2026, 11:58 p.m.
Created at: March 12, 2026, 11:30 p.m.