Triple

T11959201
Position Surface form Disambiguated ID Type / Status
Subject CodeView E284625 entity
Predicate formatFamily P77912 FINISHED
Object PDB E700433 NE FINISHED

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: PDB | Statement: [CodeView, formatFamily, PDB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PDB
Context triple: [CodeView, formatFamily, PDB]
  • A. PDB chosen
    PDB (Program Database) is a file format used by Microsoft development tools to store debugging and project state information for compiled programs.
  • B. pdb
    pdb is Python’s built-in interactive debugger, used to inspect and control the execution of Python programs for troubleshooting and development.
  • C. 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.
  • D. 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.
  • E. UniParc
    UniParc is a comprehensive, non-redundant archive that stores and tracks all known unique protein sequences from multiple sources over time.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: formatFamily
Context triple: [CodeView, formatFamily, PDB]
  • A. formatCategory chosen
    Indicates how an item is classified or grouped according to its format or presentation type.
  • B. syntaxFamily
    Indicates that two linguistic elements share a common syntactic type, pattern, or structural classification within a grammar system.
  • C. styleFamily
    Indicates that one style is grouped within the same stylistic family or category as another style.
  • D. typeFamily
    Indicates that one entity is classified as a family-related type or belongs to a family category in relation to another entity.
  • E. featuresFamilyName
    Indicates that an entity is associated with or displays a particular family name.
  • F. None of above.

Provenance (4 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9036941948190b150369094551731 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f459210d1c8190953cd01da3d2ad04 completed May 1, 2026, 7:41 a.m.
PD Predicate disambiguation batch_69d8bb40f30c8190a0e0719bd67542bf completed April 10, 2026, 8:56 a.m.
Created at: April 8, 2026, 9:45 p.m.