Triple

T18528268
Position Surface form Disambiguated ID Type / Status
Subject Facebook Engineering E452772 entity
Predicate developedTechnology P5334 FINISHED
Object Facebook’s News Feed ranking systems — NE NERFINISHED

How this triple was built (3 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: Facebook’s News Feed ranking systems | Statement: [Facebook Engineering, developedTechnology, Facebook’s News Feed ranking systems]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Facebook’s News Feed ranking systems
Context triple: [Facebook Engineering, developedTechnology, Facebook’s News Feed ranking systems]
  • A. Networks, Crowds, and Markets: Reasoning About a Highly Connected World
    "Networks, Crowds, and Markets: Reasoning About a Highly Connected World" is an interdisciplinary textbook that introduces the mathematical and conceptual foundations of network science, game theory, and market dynamics in complex social and economic systems.
  • B. Recommender Systems: The Textbook
    Recommender Systems: The Textbook is a comprehensive academic book by Charu C. Aggarwal that systematically covers the theory, algorithms, and practical applications of modern recommender systems.
  • C. The Facebook Effect
    The Facebook Effect is a nonfiction book by David Kirkpatrick that chronicles the founding, growth, and global impact of Facebook on technology, business, and society.
  • D. Whuffie
    Whuffie is a fictional reputation-based currency that measures social capital and replaces money in Cory Doctorow’s science fiction novel "Down and Out in the Magic Kingdom."
  • E. Building Social Business
    "Building Social Business" is a book by Nobel laureate Muhammad Yunus that outlines the concept and practice of businesses designed primarily to solve social problems rather than maximize profit.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Facebook’s News Feed ranking systems
Target entity description: Facebook’s News Feed ranking systems are the machine-learning–driven algorithms that determine which posts and updates users see and in what order on the Facebook platform.
  • A. Networks, Crowds, and Markets: Reasoning About a Highly Connected World
    "Networks, Crowds, and Markets: Reasoning About a Highly Connected World" is an interdisciplinary textbook that introduces the mathematical and conceptual foundations of network science, game theory, and market dynamics in complex social and economic systems.
  • B. Recommender Systems: The Textbook
    Recommender Systems: The Textbook is a comprehensive academic book by Charu C. Aggarwal that systematically covers the theory, algorithms, and practical applications of modern recommender systems.
  • C. The Facebook Effect
    The Facebook Effect is a nonfiction book by David Kirkpatrick that chronicles the founding, growth, and global impact of Facebook on technology, business, and society.
  • D. Whuffie
    Whuffie is a fictional reputation-based currency that measures social capital and replaces money in Cory Doctorow’s science fiction novel "Down and Out in the Magic Kingdom."
  • E. Building Social Business
    "Building Social Business" is a book by Nobel laureate Muhammad Yunus that outlines the concept and practice of businesses designed primarily to solve social problems rather than maximize profit.
  • F. None of above. chosen

Provenance (2 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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e533fad2d081908395914d6a6b4eb1 completed April 19, 2026, 7:58 p.m.
Created at: April 10, 2026, 11:37 a.m.