Triple

T7874791
Position Surface form Disambiguated ID Type / Status
Subject Adam: A Method for Stochastic Optimization E182822 entity
Predicate licenseOfImplementation P79507 FINISHED
Object open-source implementations available 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: open-source implementations available | Statement: [Adam: A Method for Stochastic Optimization, licenseOfImplementation, open-source implementations available]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: licenseOfImplementation
Context triple: [Adam: A Method for Stochastic Optimization, licenseOfImplementation, open-source implementations available]
  • A. licenseOfDiscussedProject
    Indicates that the specified license applies to, or governs, the project currently under discussion.
  • B. licenseScope
    Indicates the specific rights, limitations, and conditions that define how and where a license may be used or applied.
  • C. license
    Indicates that one entity has granted another entity formal permission or authorization to use, perform, or exploit something under specified terms.
  • D. 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.
  • E. licenseFocus
    Indicates that a license specifically targets, applies to, or is primarily concerned with a particular subject, activity, or scope.
  • F. None of above. chosen

Provenance (4 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_69ca828a17248190b46defe758bc5ad3 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39a961188190b2f12f8fe5d66641 completed March 31, 2026, 3:04 a.m.
PD Predicate disambiguation batch_69cae928e1b88190b0620f4c4f03bc7d completed March 30, 2026, 9:20 p.m.
PDg Predicate description generation batch_69caf786ec748190b6347b0c94335550 completed March 30, 2026, 10:21 p.m.
Created at: March 30, 2026, 4:56 p.m.