Triple

T26221646
Position Surface form Disambiguated ID Type / Status
Subject Austria–Holy See relations E655777 entity
Predicate hasSymbolicAspect P16925 FINISHED
Object papal visits to Austria 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: papal visits to Austria | Statement: [Austria–Holy See relations, hasSymbolicAspect, papal visits to Austria]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSymbolicAspect
Context triple: [Austria–Holy See relations, hasSymbolicAspect, papal visits to Austria]
  • A. symbolicAspect
    Indicates that one entity functions as a symbol or emblem that represents, expresses, or conveys a particular meaning, quality, or concept of another entity.
  • B. hasSymbolicInterpretation
    Indicates that one entity is understood or used as a symbolic representation or metaphorical stand-in for another entity or concept.
  • C. containsSymbolicAct chosen
    Indicates that one entity includes or incorporates a symbolic action or gesture associated with another entity.
  • D. hasAspectSystem
    Indicates that an entity possesses or is associated with a particular aspect system, such as a structured set of characteristics, dimensions, or perspectives.
  • E. hasSymbolicValue
    Indicates that something holds meaning, significance, or representational value beyond its literal or practical function.
  • 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_69ee5b4a77e08190bfcb5f8ecdc55abd completed April 26, 2026, 6:36 p.m.
NER Named-entity recognition batch_69f6562fd3488190be1acd8c526a28d2 completed May 2, 2026, 7:53 p.m.
PD Predicate disambiguation batch_69f651a731508190bb0c8c2462eba224 completed May 2, 2026, 7:33 p.m.
Created at: April 26, 2026, 8:56 p.m.