Triple

T37244253
Position Surface form Disambiguated ID Type / Status
Subject Bergheim E923803 entity
Predicate municipalKey_Gemeindeschlüssel P180512 FINISHED
Object 05362008 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: 05362008 | Statement: [Bergheim, municipalKey_Gemeindeschlüssel, 05362008]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: municipalKey_Gemeindeschlüssel
Context triple: [Bergheim, municipalKey_Gemeindeschlüssel, 05362008]
  • A. hasGermanMunicipalityKey chosen
    Indicates that an entity is associated with a specific official German municipality key (Amtlicher Gemeindeschlüssel) identifying its municipality.
  • B. isBavarianMunicipality
    Indicates that an entity functions as a municipality located within the federal state of Bavaria.
  • C. municipalKey
    Indicates a unique identifier that links an entity to a specific municipality within an administrative or geographic system.
  • D. cantonCode
    Indicates the specific administrative canton identifier associated with an entity or location.
  • E. mainMunicipality
    Indicates that one municipality serves as the primary or central administrative municipality associated with another entity or area.
  • 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_69f76ea9fee88190a589f661d95a7189 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb4134225081909fd60703b8cae397 completed May 6, 2026, 1:25 p.m.
PD Predicate disambiguation batch_69fb35bf767081908de8345358ca7f44 completed May 6, 2026, 12:36 p.m.
Created at: May 3, 2026, 4:15 p.m.