Triple

T26084905
Position Surface form Disambiguated ID Type / Status
Subject Grand Cross of the Order of Maria Theresa E657951 entity
Predicate benefitConferred P77057 FINISHED
Object prestige within Austro-Hungarian officer corps 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: prestige within Austro-Hungarian officer corps | Statement: [Grand Cross of the Order of Maria Theresa, benefitConferred, prestige within Austro-Hungarian officer corps]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: benefitConferred
Context triple: [Grand Cross of the Order of Maria Theresa, benefitConferred, prestige within Austro-Hungarian officer corps]
  • A. benefice chosen
    Indicates that one entity grants or bestows a benefit, favor, or advantage upon another.
  • B. benefitsCause
    Indicates that one entity gains an advantage, improvement, or positive outcome as a result of another entity or cause.
  • C. believedBenefit
    Indicates that one entity considers or perceives another entity, action, or state as providing an advantage or positive outcome.
  • D. beneficeType
    Indicates the specific category or kind of benefice (ecclesiastical office or endowed church position) associated with an entity.
  • E. benefits
    Indicates that one entity gains an advantage, improvement, or positive outcome as a result of another entity or action.
  • 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_69ee5bbf0d208190801ee95d4f07fb16 completed April 26, 2026, 6:38 p.m.
NER Named-entity recognition batch_69f612607c388190ab61d1ac7d18e08d completed May 2, 2026, 3:04 p.m.
PD Predicate disambiguation batch_69f611a9272881909093360472be832c completed May 2, 2026, 3 p.m.
Created at: April 26, 2026, 7:42 p.m.