Triple

T33470444
Position Surface form Disambiguated ID Type / Status
Subject Library of Těšín Silesia E857171 entity
Predicate documentPreservationFocus P14039 FINISHED
Object regional documents 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: regional documents | Statement: [Library of Těšín Silesia, documentPreservationFocus, regional documents]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: documentPreservationFocus
Context triple: [Library of Těšín Silesia, documentPreservationFocus, regional documents]
  • A. preservationFocus chosen
    Indicates that the primary concern or emphasis is on maintaining, protecting, or conserving something in its existing or intended state.
  • B. textPreservation
    Indicates that the original text content is maintained without alteration, loss, or distortion across a process, medium, or transformation.
  • C. preservationPurpose
    Indicates that something exists, is created, or is maintained with the specific aim of preserving or safeguarding another entity or resource.
  • D. preservationType
    Indicates the method or process by which something is preserved or kept from deterioration.
  • E. preservationUse
    Indicates that something is used, designed, or intended specifically for the purpose of preserving or maintaining another entity in its existing state.
  • 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_69f34973461481909c701c98ebd75623 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f71c35327c8190884f1bfe12bd2cd7 completed May 3, 2026, 9:58 a.m.
PD Predicate disambiguation batch_69f71822d0e88190ac9731c7ae5a4def completed May 3, 2026, 9:40 a.m.
Created at: May 1, 2026, 1:37 a.m.