Triple

T21783855
Position Surface form Disambiguated ID Type / Status
Subject On Divisions of Figures E537784 entity
Predicate tradition P1186 FINISHED
Object Euclidean 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: Euclidean corpus | Statement: [On Divisions of Figures, tradition, Euclidean corpus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Euclidean corpus
Context triple: [On Divisions of Figures, tradition, Euclidean corpus]
  • A. Corpus
    Corpus is a common shortened name for Corpus Christi College, one of the historic constituent colleges of the University of Cambridge.
  • B. CREA corpus
    The CREA corpus is a large, authoritative reference collection of contemporary Spanish language usage compiled for linguistic and lexicographic research.
  • C. 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.
  • D. corpus of Theophrastus
    The corpus of Theophrastus is the collected body of works by the ancient Greek philosopher and successor to Aristotle, encompassing influential treatises on natural science, logic, ethics, and perception.
  • E. 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.
  • 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: Euclidean corpus
Target entity description: The Euclidean corpus is the collected body of ancient Greek mathematical works attributed to Euclid, most notably including the Elements and related treatises on geometry and number theory.
  • A. Corpus
    Corpus is a common shortened name for Corpus Christi College, one of the historic constituent colleges of the University of Cambridge.
  • B. CREA corpus
    The CREA corpus is a large, authoritative reference collection of contemporary Spanish language usage compiled for linguistic and lexicographic research.
  • C. 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.
  • D. corpus of Theophrastus
    The corpus of Theophrastus is the collected body of works by the ancient Greek philosopher and successor to Aristotle, encompassing influential treatises on natural science, logic, ethics, and perception.
  • E. 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.
  • 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_69e0c47198f881908cb0d237266c10e9 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f046303d54819096b3fab4ab5678e6 completed April 28, 2026, 5:31 a.m.
Created at: April 16, 2026, 6:52 p.m.