Triple

T4420913
Position Surface form Disambiguated ID Type / Status
Subject Humanitarian Data Exchange E95093 entity
Predicate dataLicensePolicy P10529 FINISHED
Object promotes open licenses LITERAL 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: promotes open licenses | Statement: [Humanitarian Data Exchange, dataLicensePolicy, promotes open licenses]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: dataLicensePolicy
Context triple: [Humanitarian Data Exchange, dataLicensePolicy, promotes open licenses]
  • A. dataPolicy chosen
    Indicates that one entity defines or governs how data related to another entity is collected, used, stored, or shared.
  • B. contentLicense
    Indicates the type of license or usage rights that govern how the associated content may be used, shared, or redistributed.
  • C. licenseFor
    Indicates that one entity grants or holds formal permission or authorization for another entity to perform an activity, use a resource, or operate under specified conditions.
  • D. contentLicenseAllows
    Indicates that a content license grants permission for a specified use or action involving the content.
  • E. licenseStewardship
    Indicates that one entity is responsible for managing, overseeing, or administering a license on behalf of another entity.
  • F. None of above.

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.
PD Predicate disambiguation batch_69b34f5eabe88190a12b244ea71e46d6 completed March 12, 2026, 11:42 p.m.
Created at: March 12, 2026, 11:30 p.m.