Triple

T34593854
Position Surface form Disambiguated ID Type / Status
Subject Blasewitz E888256 entity
Predicate municipalityCodeLevel P80007 FINISHED
Object Stadtteil 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: Stadtteil | Statement: [Blasewitz, municipalityCodeLevel, Stadtteil]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: municipalityCodeLevel
Context triple: [Blasewitz, municipalityCodeLevel, Stadtteil]
  • A. hasMunicipalLevel chosen
    Indicates that an entity is associated with a specific level or tier within a municipal (local government) hierarchy.
  • B. municipalCodeSystem
    Indicates a system that defines, organizes, or standardizes codes or regulations used by a municipality.
  • C. hasMunicipalLevelBelow
    Indicates that one administrative unit has another, lower-level municipal unit directly subordinate to it in the hierarchy.
  • D. hasMunicipalityCode
    Indicates that an entity is associated with a specific official municipality code used for administrative or identification purposes.
  • E. isProvincialLevelMunicipality
    Indicates that a municipality holds the administrative status and authority of a province-level jurisdiction within a country’s governmental hierarchy.
  • 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_69f349d3bfcc81909874c99e646fb3ea completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f74c70fd248190a9d5543afcb08211 completed May 3, 2026, 1:24 p.m.
PD Predicate disambiguation batch_69f7478e3b548190a51d5d436e2bb036 completed May 3, 2026, 1:03 p.m.
Created at: May 1, 2026, 2:03 a.m.