Triple

T14994032
Position Surface form Disambiguated ID Type / Status
Subject Boston University Libraries E373908 entity
Predicate usesLibraryOfCongressClassification P2387 FINISHED
Object yes LITERAL 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: yes | Statement: [Boston University Libraries, usesLibraryOfCongressClassification, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesLibraryOfCongressClassification
Context triple: [Boston University Libraries, usesLibraryOfCongressClassification, yes]
  • A. libraryOfCongressClassification
    Indicates that one entity is assigned a Library of Congress Classification code that organizes it within the Library of Congress subject-based cataloging system.
  • B. hasDeweyDecimalClassification
    Indicates that an item (such as a book or resource) is assigned a specific Dewey Decimal Classification number representing its subject area in a library system.
  • C. hasLCClassification chosen
    Indicates that an entity is assigned a specific Library of Congress Classification code representing its subject or shelving category.
  • D. hasLccn
    Indicates that an entity is associated with a specific Library of Congress Control Number (LCCN) as its unique identifier in the Library of Congress catalog.
  • E. lccn
    Indicates that an entity is associated with a specific Library of Congress Control Number (LCCN), uniquely identifying its bibliographic record in the Library of Congress catalog.
  • F. None of above.

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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded716ebb481908224d2d4f7561b03 completed April 15, 2026, 12:08 a.m.
PD Predicate disambiguation batch_69de9a6169b48190a679609febd2d0e3 completed April 14, 2026, 7:49 p.m.
Created at: April 10, 2026, 2:53 a.m.