Triple

T78980
Position Surface form Disambiguated ID Type / Status
Subject Chan Zuckerberg Initiative E1583 entity
Predicate usesStructure P3097 FINISHED
Object LLC instead of traditional private foundation 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: LLC instead of traditional private foundation | Statement: [Chan Zuckerberg Initiative, usesStructure, LLC instead of traditional private foundation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesStructure
Context triple: [Chan Zuckerberg Initiative, usesStructure, LLC instead of traditional private foundation]
  • A. hasStructureType
    Indicates that an entity possesses or is classified by a specific structural type or configuration.
  • B. hasOrganizationalStructure
    Indicates that an entity possesses a defined internal arrangement of roles, responsibilities, and relationships that determine how it is organized and operates.
  • C. usesElement chosen
    Indicates that one entity makes use of, incorporates, or depends on a specified element in its structure, function, or behavior.
  • D. namingStructure
    Indicates a relationship where one entity defines, organizes, or constrains the naming or label format used for another entity.
  • E. usesRankStructure
    Indicates that an entity organizes its members or components according to a defined hierarchical rank structure.
  • 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_69a24c60d19c8190a1b6c105ca59ef5b completed Feb. 28, 2026, 2:01 a.m.
NER Named-entity recognition batch_69a24fd16c248190a6ee4cd96c388772 completed Feb. 28, 2026, 2:15 a.m.
PD Predicate disambiguation batch_69a24eb126b48190b410b859c1be99aa completed Feb. 28, 2026, 2:10 a.m.
Created at: Feb. 28, 2026, 2:06 a.m.