Triple

T18204748
Position Surface form Disambiguated ID Type / Status
Subject Bloom E435874 entity
Predicate trainingDataSource P21073 FINISHED
Object ROOTS corpus 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: ROOTS corpus | Statement: [Bloom, trainingDataSource, ROOTS corpus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ROOTS corpus
Context triple: [Bloom, trainingDataSource, ROOTS corpus]
  • A. CORDE corpus
    The CORDE corpus is a large historical Spanish language corpus compiled by the Royal Spanish Academy, used for studying the evolution and usage of Spanish over time.
  • 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. Archi Language Corpus
    Archi Language Corpus is a digital collection of texts and linguistic data documenting the Archi language for research and preservation purposes.
  • E. Ulster-Scots language corpus
    The Ulster-Scots language corpus is a structured collection of texts and linguistic data documenting the Ulster-Scots variety of Scots, used for research, preservation, and analysis of the language.
  • 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: ROOTS corpus
Target entity description: The ROOTS corpus is a massive, multilingual text dataset compiled to train and evaluate large language models such as those in the BLOOM project.
  • A. CORDE corpus
    The CORDE corpus is a large historical Spanish language corpus compiled by the Royal Spanish Academy, used for studying the evolution and usage of Spanish over time.
  • 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. Archi Language Corpus
    Archi Language Corpus is a digital collection of texts and linguistic data documenting the Archi language for research and preservation purposes.
  • E. Ulster-Scots language corpus
    The Ulster-Scots language corpus is a structured collection of texts and linguistic data documenting the Ulster-Scots variety of Scots, used for research, preservation, and analysis of the language.
  • 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e222831081908f7d5500424e3acb completed April 19, 2026, 2:09 p.m.
Created at: April 10, 2026, 10:32 a.m.