Triple

T21605947
Position Surface form Disambiguated ID Type / Status
Subject Kreis Belzig E533171 entity
Predicate hadMunicipalities P84684 FINISHED
Object multiple rural municipalities around Belzig 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: multiple rural municipalities around Belzig | Statement: [Kreis Belzig, hadMunicipalities, multiple rural municipalities around Belzig]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hadMunicipalities
Context triple: [Kreis Belzig, hadMunicipalities, multiple rural municipalities around Belzig]
  • A. isMunicipalHomeOf
    Indicates that a municipality serves as the official home base or hosting location for a particular entity or organization.
  • B. wasMunicipalityIn
    Indicates that an entity previously held the status of a municipality within a specified administrative or territorial unit.
  • C. hasMunicipalPart chosen
    Indicates that an administrative or territorial entity includes a municipality as one of its constituent parts.
  • D. hasMunicipalFormation
    Indicates that an administrative or territorial unit is organized into, or associated with, a specific municipal formation as its local self-governing structure.
  • E. hasMunicipalGovernment
    Indicates that an entity is administered or governed by a municipal-level governmental authority.
  • 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_69e0c46364608190a337dc8720dc2a35 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef17e5783481909db36c388f3ae227 completed April 27, 2026, 8:01 a.m.
PD Predicate disambiguation batch_69e69665fe8c8190af7e38785db188b2 completed April 20, 2026, 9:11 p.m.
Created at: April 16, 2026, 6:33 p.m.