Triple

T2066619
Position Surface form Disambiguated ID Type / Status
Subject ZM E45914 entity
Predicate underlyingCompanyOffers P35150 FINISHED
Object freemium pricing model 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: freemium pricing model | Statement: [ZM, underlyingCompanyOffers, freemium pricing model]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: underlyingCompanyOffers
Context triple: [ZM, underlyingCompanyOffers, freemium pricing model]
  • A. underlyingCompany
    Indicates that one entity serves as the fundamental or base company upon which another entity (such as a product, instrument, or structure) is built, derived, or dependent.
  • B. offersProgram
    Indicates that an entity provides or makes available a specific program (such as a course, curriculum, or initiative).
  • C. offersActivity
    Indicates that one entity provides or makes available a specific activity for another entity to participate in or use.
  • D. associatedOffering
    Indicates a relationship where one offering is linked or connected to another offering as related or contextually relevant.
  • E. offersSearch
    Indicates that one entity provides or makes available search functionality or search services to another entity.
  • 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_69a8891b38288190abd572ccad9b6928 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9f236f08190b602d337afb1880f completed March 7, 2026, 5:38 a.m.
PD Predicate disambiguation batch_69abb7aee9b48190999620176e3a6ee2 completed March 7, 2026, 5:29 a.m.
PDg Predicate description generation batch_69abb87b9fc08190a748c278ef2d7dc7 completed March 7, 2026, 5:32 a.m.
Created at: March 4, 2026, 7:40 p.m.