Triple

T11475983
Position Surface form Disambiguated ID Type / Status
Subject Johann Nepomuk Hummel E272025 entity
Predicate givenName P17 FINISHED
Object Nepomuk E286683 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: Nepomuk | Statement: [Johann Nepomuk Hummel, givenName, Nepomuk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nepomuk
Context triple: [Johann Nepomuk Hummel, givenName, Nepomuk]
  • A. Nepomuk chosen
    Nepomuk is a small historic town in the Plzeň Region of the Czech Republic, best known as the birthplace of Saint John of Nepomuk.
  • B. Thunar
    Thunar is the lightweight, fast, and simple file manager designed for the Xfce desktop environment on Unix-like systems.
  • C. Konqueror
    Konqueror is a web browser and file manager developed as part of the KDE desktop environment, known for its integration with KDE technologies and versatility in handling both web and local files.
  • D. Eye of GNOME
    Eye of GNOME is the default image viewer for the GNOME desktop environment, providing a simple interface for viewing and basic manipulation of image files.
  • E. KDE Frameworks
    KDE Frameworks is a collection of modular, reusable libraries and software components that provide core functionality and services for building KDE and Qt-based applications.
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8294c8dc48190a515f83c99405a3b completed April 9, 2026, 10:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e965eebc8190822247b1abc13483 completed April 20, 2026, 8:52 a.m.
Created at: April 8, 2026, 9:36 p.m.