Triple

T32742434
Position Surface form Disambiguated ID Type / Status
Subject Der Abschied E837251 entity
Predicate textCollectionSource P175043 FINISHED
Object Die chinesische Flöte NE NERFINISHED

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: Die chinesische Flöte | Statement: [Der Abschied, textCollectionSource, Die chinesische Flöte]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: textCollectionSource
Context triple: [Der Abschied, textCollectionSource, Die chinesische Flöte]
  • A. textSources
    Indicates that one entity serves as a source or origin for the text content associated with another entity.
  • B. typicalSourceText
    Indicates that the related entity is a common or representative textual source from which information, examples, or data about another entity are typically drawn.
  • C. collectionCompiler
    Indicates that an entity is responsible for compiling, assembling, or building a collection from its constituent elements or sources.
  • D. iconographicTextSource
    Indicates that a text serves as the source or basis for the content, meaning, or interpretation of an iconographic representation.
  • E. textSourceApocrypha
    Indicates that the referenced text originates from or is classified as apocryphal writings.
  • 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_69f34936e1748190b797e406e4e9293a completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6cd9bae8c8190b528641499162a75 completed May 3, 2026, 4:22 a.m.
PD Predicate disambiguation batch_69f6cc1470808190b70cdfd7a6395670 completed May 3, 2026, 4:16 a.m.
PDg Predicate description generation batch_69f6cd119cac8190a0b3ebe8b9c742c2 completed May 3, 2026, 4:20 a.m.
Created at: May 1, 2026, 1:12 a.m.