Triple

T8482531
Position Surface form Disambiguated ID Type / Status
Subject Protein Data Bank E200553 entity
Predicate maintainedBy P86 FINISHED
Object Worldwide Protein Data Bank consortium
The Worldwide Protein Data Bank consortium is an international collaboration that manages and curates the global archive of 3D structural data for biological macromolecules.
E200553 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: Worldwide Protein Data Bank consortium | Statement: [Protein Data Bank, maintainedBy, Worldwide Protein Data Bank consortium]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Worldwide Protein Data Bank consortium
Context triple: [Protein Data Bank, maintainedBy, Worldwide Protein Data Bank consortium]
  • A. Protein Data Bank
    The Protein Data Bank is a global repository that archives and provides open access to 3D structural data of biological macromolecules such as proteins and nucleic acids.
  • B. EMBL-EBI AlphaFold Protein Structure Database
    The EMBL-EBI AlphaFold Protein Structure Database is a publicly accessible resource providing predicted 3D structures of proteins generated by DeepMind’s AlphaFold system.
  • C. Protein Information Resource
    Protein Information Resource is a bioinformatics resource center that curates, annotates, and provides access to comprehensive protein sequence and functional information for the scientific community.
  • D. UniParc
    UniParc is a comprehensive, non-redundant archive that stores and tracks all known unique protein sequences from multiple sources over time.
  • E. CASP (Critical Assessment of protein Structure Prediction)
    CASP (Critical Assessment of protein Structure Prediction) is a biennial community-wide experiment and benchmark that objectively evaluates and compares the accuracy of computational methods for predicting protein structures.
  • 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: Worldwide Protein Data Bank consortium
Triple: [Protein Data Bank, maintainedBy, Worldwide Protein Data Bank consortium]
Generated description
The Worldwide Protein Data Bank consortium is an international collaboration that manages and curates the global archive of 3D structural data for biological macromolecules.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Worldwide Protein Data Bank consortium
Target entity description: The Worldwide Protein Data Bank consortium is an international collaboration that manages and curates the global archive of 3D structural data for biological macromolecules.
  • A. Protein Data Bank chosen
    The Protein Data Bank is a global repository that archives and provides open access to 3D structural data of biological macromolecules such as proteins and nucleic acids.
  • B. EMBL-EBI AlphaFold Protein Structure Database
    The EMBL-EBI AlphaFold Protein Structure Database is a publicly accessible resource providing predicted 3D structures of proteins generated by DeepMind’s AlphaFold system.
  • C. Protein Information Resource
    Protein Information Resource is a bioinformatics resource center that curates, annotates, and provides access to comprehensive protein sequence and functional information for the scientific community.
  • D. UniParc
    UniParc is a comprehensive, non-redundant archive that stores and tracks all known unique protein sequences from multiple sources over time.
  • E. CASP (Critical Assessment of protein Structure Prediction)
    CASP (Critical Assessment of protein Structure Prediction) is a biennial community-wide experiment and benchmark that objectively evaluates and compares the accuracy of computational methods for predicting protein structures.
  • F. None of above.

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_69ca831b17988190a1f3f3413d57b820 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe53638c48190b742fc51d1b4442a completed March 31, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4de95e3081908277c65598f3884a completed April 2, 2026, 11:07 a.m.
NEDg Description generation batch_69ce5028c38c81908e81390d0be21387 completed April 2, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_69ce517fea7c819098d0343fd2c4ccdd completed April 2, 2026, 11:22 a.m.
Created at: March 30, 2026, 6:12 p.m.