Triple

T36954068
Position Surface form Disambiguated ID Type / Status
Subject Sublogic E914144 entity
Predicate licensedTechnologyTo P184076 FINISHED
Object Microsoft NE NERFINISHED

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: Microsoft | Statement: [Sublogic, licensedTechnologyTo, Microsoft]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: licensedTechnologyTo
Context triple: [Sublogic, licensedTechnologyTo, Microsoft]
  • A. licensedTechnologyFrom chosen
    Indicates that one entity has obtained the legal right to use another entity’s technology through a licensing agreement.
  • B. 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.
  • C. licenseUsed
    Indicates that a particular license has been applied to or is being utilized for a specific resource, activity, or entity.
  • D. licenseAllows
    Indicates that a particular license grants permission for a specified action, use, or access involving an entity.
  • E. licenceBuiltIn
    Indicates that a licence is inherently included within or comes pre-installed as part of another product, system, or component rather than being added separately.
  • 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_69f76e8b28848190abd81fe7a7374910 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fa0a7b00948190a257273d9968c5d7 completed May 5, 2026, 3:19 p.m.
PD Predicate disambiguation batch_69f9fec9c9488190ae2a349651a02782 completed May 5, 2026, 2:29 p.m.
Created at: May 3, 2026, 4:13 p.m.