Triple

T18983
Position Surface form Disambiguated ID Type / Status
Subject University of Göttingen E374 entity
Predicate libraryType P1452 FINISHED
Object one of the largest academic libraries in Germany 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: one of the largest academic libraries in Germany | Statement: [University of Göttingen, libraryType, one of the largest academic libraries in Germany]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: libraryType
Context triple: [University of Göttingen, libraryType, one of the largest academic libraries in Germany]
  • A. librarySystem
    Indicates a relationship where an organized framework or infrastructure manages, catalogs, and provides access to library resources and services.
  • B. publisherType
    Indicates the classification or category of a publisher in relation to a published work or entity.
  • C. publicationType
    Indicates the specific category or format of a published work that characterizes how it is issued or presented.
  • D. typeOfSupport
    Indicates the kind or category of assistance, help, or backing provided in a given context.
  • E. OCLC
    Indicates that an entity is associated with an OCLC (Online Computer Library Center) control number or record identifier in a bibliographic or library cataloging context.
  • F. None of above. chosen

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_69a240778d288190815c0052ebbbcc91 completed Feb. 28, 2026, 1:10 a.m.
NER Named-entity recognition batch_69a246cbca108190a92478df126d9bf8 completed Feb. 28, 2026, 1:37 a.m.
PD Predicate disambiguation batch_69a2464f61648190ac690044be194972 completed Feb. 28, 2026, 1:35 a.m.
PDg Predicate description generation batch_69a246cb2904819085c13207565a1db2 completed Feb. 28, 2026, 1:37 a.m.
Created at: Feb. 28, 2026, 1:14 a.m.