Triple

T11315604
Position Surface form Disambiguated ID Type / Status
Subject Genk E267956 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Houthalen-Helchteren E630215 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: Houthalen-Helchteren | Statement: [Genk, hasNeighbouringMunicipality, Houthalen-Helchteren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Houthalen-Helchteren
Context triple: [Genk, hasNeighbouringMunicipality, Houthalen-Helchteren]
  • A. Houthalen-Helchteren chosen
    Houthalen-Helchteren is a municipality in the Belgian province of Limburg, known for its mix of residential areas, former mining sites, and surrounding natural reserves.
  • B. Roeselare
    Roeselare is a city in western Belgium known as an economic and commercial center in the province of West Flanders.
  • C. Edegem
    Edegem is a municipality in the Belgian province of Antwerp, known as a residential suburb south of the city of Antwerp.
  • D. Borgerhout
    Borgerhout is a densely populated, multicultural district of the Belgian city of Antwerp, known for its vibrant street life and diverse communities.
  • E. Vilvoorde
    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.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9c2c7b081909af8acebc8aa93aa completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e542f294988190bb456326e4184dcb completed April 19, 2026, 9:02 p.m.
Created at: April 8, 2026, 9:32 p.m.