Triple

T30830344
Position Surface form Disambiguated ID Type / Status
Subject Landkreis E785197 entity
Predicate hasTypeVariant P196589 FINISHED
Object kreisfreie Stadt 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: kreisfreie Stadt | Statement: [Landkreis, hasTypeVariant, kreisfreie Stadt]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTypeVariant
Context triple: [Landkreis, hasTypeVariant, kreisfreie Stadt]
  • A. hasVariant
    Indicates that one entity exists as an alternative form, version, or variation of another entity.
  • B. hasNameVariantType
    Indicates that one name is a specific type or variant of another name, such as an alias, abbreviation, or alternative spelling.
  • C. hasVariantUsage
    Indicates that an entity is used in an alternative or non-standard way compared to its primary or canonical usage.
  • D. hasVariantSystem
    Indicates that one system is an alternative or variant form of another system within the same general framework or category.
  • E. hasVariantFamily
    Indicates that one entity is related to another as a different version, type, or family variant of it.
  • 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_69f224b6642481909e8d701de2cd1a53 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69fe5d58c3e48190910aa3c23485e2c4 completed May 8, 2026, 10:02 p.m.
PD Predicate disambiguation batch_69fe5c92090c8190bcfa412c0a3619df completed May 8, 2026, 9:58 p.m.
PDg Predicate description generation batch_69fe5d580d7c819097cb18d438b01d08 completed May 8, 2026, 10:02 p.m.
Created at: April 29, 2026, 8:44 p.m.