Triple

T18204408
Position Surface form Disambiguated ID Type / Status
Subject T5 E435867 entity
Predicate trainingData P21226 FINISHED
Object Colossal Clean Crawled Corpus
The Colossal Clean Crawled Corpus (C4) is a massive, cleaned web-text dataset widely used to train large language models and other state-of-the-art NLP systems.
E1312424 NE FINISHED

How this triple was built (4 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: Colossal Clean Crawled Corpus | Statement: [T5, trainingData, Colossal Clean Crawled Corpus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colossal Clean Crawled Corpus
Context triple: [T5, trainingData, Colossal Clean Crawled Corpus]
  • A. Common Crawl
    Common Crawl is a massive, publicly available web archive that regularly crawls and stores petabytes of web page data for use in research and large-scale data analysis.
  • B. Collins Corpus
    Collins Corpus is a large, computer-readable collection of real-world English texts used by Collins for corpus-based lexicography and language research.
  • C. Corpus
    Corpus is a common shortened name for Corpus Christi College, one of the historic constituent colleges of the University of Cambridge.
  • D. COSMAS II corpus search system
    COSMAS II corpus search system is a large-scale linguistic search platform for German language text corpora, maintained by the Institut für Deutsche Sprache for research and lexicographic analysis.
  • E. WebText dataset
    The WebText dataset is a large-scale corpus of web pages curated by OpenAI to train language models like GPT-2 on diverse, high-quality internet text.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Colossal Clean Crawled Corpus
Triple: [T5, trainingData, Colossal Clean Crawled Corpus]
Generated description
The Colossal Clean Crawled Corpus (C4) is a massive, cleaned web-text dataset widely used to train large language models and other state-of-the-art NLP systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Colossal Clean Crawled Corpus
Target entity description: The Colossal Clean Crawled Corpus (C4) is a massive, cleaned web-text dataset widely used to train large language models and other state-of-the-art NLP systems.
  • A. Common Crawl
    Common Crawl is a massive, publicly available web archive that regularly crawls and stores petabytes of web page data for use in research and large-scale data analysis.
  • B. Collins Corpus
    Collins Corpus is a large, computer-readable collection of real-world English texts used by Collins for corpus-based lexicography and language research.
  • C. Corpus
    Corpus is a common shortened name for Corpus Christi College, one of the historic constituent colleges of the University of Cambridge.
  • D. COSMAS II corpus search system
    COSMAS II corpus search system is a large-scale linguistic search platform for German language text corpora, maintained by the Institut für Deutsche Sprache for research and lexicographic analysis.
  • E. WebText dataset
    The WebText dataset is a large-scale corpus of web pages curated by OpenAI to train language models like GPT-2 on diverse, high-quality internet text.
  • F. None of above. chosen

Provenance (5 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e222831081908f7d5500424e3acb completed April 19, 2026, 2:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a039f0e52108190913cc5c667619d89 completed May 12, 2026, 9:43 p.m.
NEDg Description generation batch_6a039fdd9c4c819083b450657d0ece43 completed May 12, 2026, 9:47 p.m.
NED2 Entity disambiguation (via description) batch_6a03a0d6de8c8190b1f94c7de0856143 completed May 12, 2026, 9:51 p.m.
Created at: April 10, 2026, 10:32 a.m.