Triple

T17170024
Position Surface form Disambiguated ID Type / Status
Subject S. R. Ranganathan E416704 entity
Predicate developed P73 FINISHED
Object Colon classification system E16024 NE 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: Colon classification system | Statement: [S. R. Ranganathan, developed, Colon classification system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colon classification system
Context triple: [S. R. Ranganathan, developed, Colon classification system]
  • A. Colon Classification chosen
    Colon Classification is a faceted library classification system developed by S. R. Ranganathan that organizes knowledge using a combination of basic subject categories and auxiliary facets.
  • B. Harvard Classification Scheme
    The Harvard Classification Scheme is an early 20th-century stellar classification system that organizes stars primarily by their spectral characteristics and temperatures into types such as O, B, A, F, G, K, and M.
  • C. ICB classification system
    The ICB classification system is a globally used industry taxonomy that categorizes companies and securities into sectors and subsectors to support investment analysis, benchmarking, and market research.
  • D. Lugano classification
    The Lugano classification is a standardized system used to stage and assess the extent of non-Hodgkin lymphoma and other lymphomas in clinical practice and research.
  • E. National Accreditation Program for Rectal Cancer
    The National Accreditation Program for Rectal Cancer is a quality-improvement initiative that sets evidence-based standards and accredits hospitals for delivering multidisciplinary, high-quality care to patients with rectal cancer.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f91831d88190b262227fc41c9067 completed April 18, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01483f85648190acaeb197013e1f1b completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:37 a.m.