Triple

T5536256
Position Surface form Disambiguated ID Type / Status
Subject Peutie E145168 entity
Predicate isResidentialAreaOf P4813 FINISHED
Object Vilvoorde urban area E26610 NE 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: Vilvoorde urban area | Statement: [Peutie, isResidentialAreaOf, Vilvoorde urban area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vilvoorde urban area
Context triple: [Peutie, isResidentialAreaOf, Vilvoorde urban area]
  • 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. Brussels metropolitan area
    The Brussels metropolitan area is the large urban region centered on Belgium’s capital, encompassing Brussels and its surrounding municipalities and commuter towns.
  • C. Bellebeek
    Bellebeek is a small stream in Belgium that serves as a right-bank tributary of the River Dender.
  • D. Hasselt
    Hasselt is a historic small city in the Dutch province of Overijssel, known for its medieval center and canals.
  • E. Hasselt
    Hasselt is a city in northeastern Belgium that serves as the capital of the province of Limburg in the Flemish region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_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_69c097b96f708190a40b67e32e4b4b47 completed March 23, 2026, 1:30 a.m.
Created at: March 22, 2026, 3:34 p.m.