Triple

T5536243
Position Surface form Disambiguated ID Type / Status
Subject Peutie E145168 entity
Predicate formsSuburbOf P48040 FINISHED
Object Vilvoorde E26610 NE FINISHED

How this triple was built (3 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: Vilvoorde | Statement: [Peutie, formsSuburbOf, Vilvoorde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vilvoorde
Context triple: [Peutie, formsSuburbOf, Vilvoorde]
  • A. Vilvoorde chosen
    Vilvoorde is a city in the Flemish Region of Belgium, located just north of Brussels and known as part of the capital’s broader metropolitan area.
  • B. Mechelen
    Mechelen is a historic city in the Flemish region of Belgium, known for its rich architectural heritage, medieval center, and prominent role in the Low Countries’ political and religious history.
  • C. Hasselt
    Hasselt is a historic small city in the Dutch province of Overijssel, known for its medieval center and canals.
  • D. Hasselt
    Hasselt is a city in northeastern Belgium that serves as the capital of the province of Limburg in the Flemish region.
  • E. Tervuren
    Tervuren is a municipality in Flemish Brabant, Belgium, known for its historic park, royal connections, and the Royal Museum for Central Africa.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: formsSuburbOf
Context triple: [Peutie, formsSuburbOf, Vilvoorde]
  • A. innerSuburbOf chosen
    Indicates that one location is a suburb situated within or forming part of a larger city or metropolitan area.
  • B. isResidentialSuburbOf
    Indicates that one area is a residential suburb that is part of or lies within the urban region of another area.
  • C. suburbPostcode
    Indicates that a suburb is associated with a particular postal code within a mailing or geographic addressing system.
  • D. isCommercialSuburbOf
    Indicates that one area functions primarily as a business or commercial district that is part of, or subordinate to, a larger urban area or city.
  • E. connectsToSuburb
    Indicates that one entity has a direct connection or link to a suburban area, such as via transport, infrastructure, or adjacency.
  • F. None of above.

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_69c008f9955881909bfa8348b56b4739 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fb07e748190bea74bbde2d7b8ba completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cad46d4081908f685d961d100d42 completed March 27, 2026, 6:22 p.m.
PD Predicate disambiguation batch_69c01b0c50e48190a1b03ecd20ca440b completed March 22, 2026, 4:38 p.m.
Created at: March 22, 2026, 3:34 p.m.