Triple

T12247247
Position Surface form Disambiguated ID Type / Status
Subject University of Illinois/NCSA Open Source License E291880 entity
Predicate allowsRelicensing P41932 FINISHED
Object true 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: true | Statement: [University of Illinois/NCSA Open Source License, allowsRelicensing, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: allowsRelicensing
Context triple: [University of Illinois/NCSA Open Source License, allowsRelicensing, true]
  • A. canBeRelicensedUnder chosen
    Indicates that an existing license for something may legally be changed to a different license under specified conditions.
  • B. allowsSublicensing
    Indicates that one party grants another the right to further license the same rights to additional third parties.
  • C. canBeLicensedUnder
    Indicates that something is eligible or suitable to be granted a particular legal license or licensing terms.
  • D. requiresLicenseFrom
    Indicates that one entity must obtain formal permission or authorization from another entity before performing a specific activity or operation.
  • E. requiresLicenseOf
    Indicates that one entity must obtain or hold the license associated with another entity in order to use, access, or perform something.
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91d38ee10819093ed41d2954bf4ef completed April 10, 2026, 3:54 p.m.
PD Predicate disambiguation batch_69d91c46dcd88190a263db30804bff36 completed April 10, 2026, 3:50 p.m.
Created at: April 8, 2026, 9:51 p.m.