Triple

T20497869
Position Surface form Disambiguated ID Type / Status
Subject Schwabing E502919 entity
Predicate municipalCodeContext P3943 FINISHED
Object city districts of Munich 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: city districts of Munich | Statement: [Schwabing, municipalCodeContext, city districts of Munich]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: municipalCodeContext
Context triple: [Schwabing, municipalCodeContext, city districts of Munich]
  • A. municipalCodeSystem
    Indicates a system that defines, organizes, or standardizes codes or regulations used by a municipality.
  • B. hasMunicipalityCode chosen
    Indicates that an entity is associated with a specific official municipality code used for administrative or identification purposes.
  • C. municipalKey
    Indicates a unique identifier that links an entity to a specific municipality within an administrative or geographic system.
  • D. municipalizationContext
    Indicates the context, conditions, or circumstances under which a service, asset, or function is transferred from private or other ownership to municipal (local government) ownership or control.
  • E. municipalScope
    Indicates that something falls within the authority, jurisdiction, or functional domain of a municipality or local city government.
  • 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_69e0b4b0373881909dd3e9387f82eab4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69cbefe4c819098af5bfd4d92341d completed April 20, 2026, 9:38 p.m.
PD Predicate disambiguation batch_69e59fcdf6e08190a604204615dc56e6 completed April 20, 2026, 3:38 a.m.
Created at: April 16, 2026, 11:35 a.m.