Triple

T20830887
Position Surface form Disambiguated ID Type / Status
Subject Austrian Order of the Iron Crown E512822 entity
Predicate hasThreeClasses P141996 FINISHED
Object true 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: true | Statement: [Austrian Order of the Iron Crown, hasThreeClasses, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasThreeClasses
Context triple: [Austrian Order of the Iron Crown, hasThreeClasses, true]
  • A. hasTwoClasses
    Indicates that an entity is associated with exactly two distinct classes or categories.
  • B. hasThreePartStructure
    Indicates that something is organized into three distinct, related parts or sections.
  • C. hasFiveClassStructure
    Indicates that an entity is organized into, or conforms to, a structure consisting of five distinct classes.
  • D. hasFineGrainedClasses
    Indicates that an entity is associated with or categorized into more detailed, specific subclasses within a broader classification.
  • E. hasMultipleSubclasses
    Indicates that a class or category is related to more than one distinct subclass within a hierarchy.
  • 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_69e0b4cf62a88190bbf92351e9e57259 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c32177188190ad67572cb3b5db74 completed April 21, 2026, 12:21 a.m.
PD Predicate disambiguation batch_69e5c9a1f4f48190aa9fb4ef8f8aea5a completed April 20, 2026, 6:37 a.m.
PDg Predicate description generation batch_69e5d53c4d6881909b4d0a716fa5ed4a completed April 20, 2026, 7:26 a.m.
Created at: April 16, 2026, 12:42 p.m.