Triple

T25881081
Position Surface form Disambiguated ID Type / Status
Subject Unification of Germany E652050 entity
Predicate excludedEntity P34541 FINISHED
Object German-speaking regions of Austria-Hungary 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: German-speaking regions of Austria-Hungary | Statement: [Unification of Germany, excludedEntity, German-speaking regions of Austria-Hungary]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: excludedEntity
Context triple: [Unification of Germany, excludedEntity, German-speaking regions of Austria-Hungary]
  • A. excludedFrom chosen
    Indicates that one entity is deliberately not included within the scope, membership, or applicability of another entity or set.
  • B. excludes
    Indicates that one entity deliberately omits, leaves out, or does not allow the inclusion of another entity within a set, group, or context.
  • C. exclusionBasis
    Indicates the reason or criterion used to exclude an entity from a set, process, or consideration.
  • D. entailExcludes
    Indicates that the truth or occurrence of one statement or condition entails that another statement or condition cannot be true or occur simultaneously.
  • E. excludesConstruct
    Indicates that one entity explicitly omits, leaves out, or does not incorporate a particular construct in its definition, composition, or scope.
  • 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_69e7ab3b92cc81908febd90317862647 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f60c698ae48190871cd445422bad91 completed May 2, 2026, 2:38 p.m.
PD Predicate disambiguation batch_69f60b874cc88190a487230abb69efea completed May 2, 2026, 2:34 p.m.
Created at: April 22, 2026, 8:16 a.m.